Overview

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Dataset statistics

Number of variables192
Number of observations143
Missing cells2255
Missing cells (%)8.2%
Total size in memory209.0 KiB
Average record size in memory1.5 KiB

Variable types

Text6
Numeric147
DateTime3
Boolean36

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w2_experimentidexperimentid
w2_lastpagelastpage
w2_submitdatesubmitdate
w2_startlanguagestartlanguage
w2_startdatestartdate
w2_datestampdatestamp
w2_refurlrefurl
w2_A01With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________
w2_A01_otherWith whom do you live? Answer: Other, please specify: ________
w2_A02In addition to you, how many people do you share the accommodation with? |__|
w2_A03How many of these people attend university? |__|
w2_A04 Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more
w2_A05_1In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)
w2_A05_2In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)
w2_A05_3In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system
w2_A05_4In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV
w2_A05_5In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC
w2_A05_6In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer
w2_A05_7In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet
w2_A05_8In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone
w2_A05_9In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher
w2_A05_10In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi
w2_A06_1All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________
w2_A06_2All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)
w2_A07Have you been in paid employment in the last year or so? 1. Yes 2. No
w2_A08Do you currently do any work, including occasional work? 1. Yes 2. No
w2_B01_1Do you have a car driver’s license? 1. Yes, 2. No
w2_B01_2Do you have a motorbike driver’s license? 1. Yes, 2. No
w2_B01_3Do you have a bike of your own? 1. Yes, 2. No
w2_B01_4Do you have a car of your own? 1. Yes, 2. No
w2_B01_5Do you have a motorbike of your own? 1. Yes, 2. No
w2_B01_6Do you have access to a car whenever you want? 1. Yes, 2. No
w2_B01_7Do you have access to a motorbike whenever you want? 1. Yes, 2. No
w2_B02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
w2_B02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
w2_B02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
w2_B02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
w2_B02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
w2_B02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
w2_B02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
w2_B02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
w2_B03How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday
w2_C01Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]
w2_C02Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.
w2_C03_1How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_2How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_3How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_4How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_5How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C04How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never
w2_C05_1Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.
w2_C05_2Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.
w2_C05_3Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.
w2_C05_4Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly
w2_C05_5Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.
w2_C05_6Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.
w2_C05_7Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.
w2_C05_8Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.
w2_C05_9Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.
w2_C06_1When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips
w2_C06_2When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes
w2_C06_3When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines
w2_C06_4When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps
w2_C06_5When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV
w2_C06_6When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas
w2_C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet
w2_C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet
w2_C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons
w2_C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
w2_C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly
w2_C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight
w2_C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.
w2_C08Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.
w2_C09Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday
w2_C10_1Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_2Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_3Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_4Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_5Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_6Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_7Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C11How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.
w2_C12_1How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_2How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_3How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_4How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_5How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_D01Beyond walking about, do you engage in other physical activities? 1. Yes 2. No
w2_D02Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]
w2_D03_1Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.
w2_D03_2Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.
w2_D03_3Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.
w2_D03_4Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.
w2_D03_5Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.
w2_D03_6Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.
w2_D03_7Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.
w2_D03_8Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.
w2_D04How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week
w2_D05_1How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_2How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_3How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D06_1Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.
w2_D06_2Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.
w2_D06_3Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.
w2_D06_4Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.
w2_D06_5Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.
w2_D06_otherQuestion: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.
w2_D07_1Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.
w2_D07_2Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.
w2_D07_3Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.
w2_D07_4Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.
w2_D07_5Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.
w2_E01_1Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.
w2_E01_2Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.
w2_E01_3Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.
w2_E01_4Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.
w2_E01_5Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.
w2_E01_6Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.
w2_E02_1Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_2Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_3Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_4Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_5Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_F02_1Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual
w2_F02_2Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet
w2_F02_3Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned
w2_F02_4Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating
w2_F02_5Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy
w2_F02_6Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed
w2_F02_7Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful
w2_F02_8Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual
w2_F02_9Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured
w2_F02_10Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant
w2_F02_11Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical
w2_F02_12Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive
w2_F02_13Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening
w2_F02_14Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract
w2_F02_15Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser
w2_F02_16Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety
w2_F02_17Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful
w2_F02_18Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate
w2_F02_19Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups
w2_F02_20Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel
w2_F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
w2_F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things
w2_F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.
w2_F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does
w2_F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
w2_F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try
w2_F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
w2_F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
w2_F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
w2_F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
w2_F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
w2_F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people
w2_F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people
w2_F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
w2_F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures
w2_F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
w2_F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says
w2_F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them
w2_F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them
w2_F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires
w2_F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess
w2_F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
w2_F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
w2_F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is
w2_F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
w2_F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself
w2_F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows
w2_F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
w2_F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
w2_F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life
w2_F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them
w2_F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others
w2_F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
w2_F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself
w2_F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected
w2_F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
w2_F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them
w2_F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself
w2_F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader
w2_F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
w2_interviewtimeinterviewtime
w2_GT_A1
w2_GT_A2
w2_GT_B
w2_GT_C
w2_GT_D
w2_GT_E
w2_GT_F

Alerts

w2_experimentid has constant value "wenetUK" Constant
w2_B02_8 has constant value "False" Constant
w2_A05_3 is highly imbalanced (56.1%) Imbalance
w2_A05_6 is highly imbalanced (66.1%) Imbalance
w2_A05_10 is highly imbalanced (68.9%) Imbalance
w2_B02_1 is highly imbalanced (56.1%) Imbalance
w2_B02_3 is highly imbalanced (51.6%) Imbalance
w2_B02_5 is highly imbalanced (94.0%) Imbalance
w2_C06_2 is highly imbalanced (56.1%) Imbalance
w2_D06_1 is highly imbalanced (60.9%) Imbalance
w2_D06_2 is highly imbalanced (56.1%) Imbalance
w2_lastpage has 2 (1.4%) missing values Missing
w2_submitdate has 10 (7.0%) missing values Missing
w2_refurl has 140 (97.9%) missing values Missing
w2_A01 has 2 (1.4%) missing values Missing
w2_A01_other has 125 (87.4%) missing values Missing
w2_A02 has 21 (14.7%) missing values Missing
w2_A03 has 22 (15.4%) missing values Missing
w2_A04 has 22 (15.4%) missing values Missing
w2_A06_1 has 12 (8.4%) missing values Missing
w2_A06_2 has 17 (11.9%) missing values Missing
w2_A07 has 3 (2.1%) missing values Missing
w2_A08 has 3 (2.1%) missing values Missing
w2_B01_1 has 3 (2.1%) missing values Missing
w2_B01_2 has 5 (3.5%) missing values Missing
w2_B01_3 has 4 (2.8%) missing values Missing
w2_B01_4 has 3 (2.1%) missing values Missing
w2_B01_5 has 4 (2.8%) missing values Missing
w2_B01_6 has 5 (3.5%) missing values Missing
w2_B01_7 has 4 (2.8%) missing values Missing
w2_B03 has 4 (2.8%) missing values Missing
w2_C01 has 2 (1.4%) missing values Missing
w2_C02 has 37 (25.9%) missing values Missing
w2_C03_1 has 6 (4.2%) missing values Missing
w2_C03_2 has 6 (4.2%) missing values Missing
w2_C03_3 has 6 (4.2%) missing values Missing
w2_C03_4 has 6 (4.2%) missing values Missing
w2_C03_5 has 7 (4.9%) missing values Missing
w2_C04 has 6 (4.2%) missing values Missing
w2_C05_1 has 6 (4.2%) missing values Missing
w2_C05_2 has 6 (4.2%) missing values Missing
w2_C05_3 has 7 (4.9%) missing values Missing
w2_C05_4 has 6 (4.2%) missing values Missing
w2_C05_5 has 6 (4.2%) missing values Missing
w2_C05_6 has 7 (4.9%) missing values Missing
w2_C05_7 has 7 (4.9%) missing values Missing
w2_C05_8 has 6 (4.2%) missing values Missing
w2_C05_9 has 6 (4.2%) missing values Missing
w2_C08 has 6 (4.2%) missing values Missing
w2_C09 has 6 (4.2%) missing values Missing
w2_C10_1 has 11 (7.7%) missing values Missing
w2_C10_2 has 13 (9.1%) missing values Missing
w2_C10_3 has 11 (7.7%) missing values Missing
w2_C10_4 has 11 (7.7%) missing values Missing
w2_C10_5 has 11 (7.7%) missing values Missing
w2_C10_6 has 12 (8.4%) missing values Missing
w2_C10_7 has 11 (7.7%) missing values Missing
w2_C11 has 11 (7.7%) missing values Missing
w2_C12_1 has 12 (8.4%) missing values Missing
w2_C12_2 has 12 (8.4%) missing values Missing
w2_C12_3 has 11 (7.7%) missing values Missing
w2_C12_4 has 12 (8.4%) missing values Missing
w2_C12_5 has 12 (8.4%) missing values Missing
w2_D01 has 3 (2.1%) missing values Missing
w2_D02 has 3 (2.1%) missing values Missing
w2_D03_1 has 39 (27.3%) missing values Missing
w2_D03_2 has 39 (27.3%) missing values Missing
w2_D03_3 has 40 (28.0%) missing values Missing
w2_D03_4 has 40 (28.0%) missing values Missing
w2_D03_5 has 40 (28.0%) missing values Missing
w2_D03_6 has 40 (28.0%) missing values Missing
w2_D03_7 has 40 (28.0%) missing values Missing
w2_D03_8 has 40 (28.0%) missing values Missing
w2_D04 has 36 (25.2%) missing values Missing
w2_D05_1 has 38 (26.6%) missing values Missing
w2_D05_2 has 38 (26.6%) missing values Missing
w2_D05_3 has 40 (28.0%) missing values Missing
w2_D06_other has 140 (97.9%) missing values Missing
w2_D07_1 has 37 (25.9%) missing values Missing
w2_D07_2 has 37 (25.9%) missing values Missing
w2_D07_3 has 37 (25.9%) missing values Missing
w2_D07_4 has 37 (25.9%) missing values Missing
w2_D07_5 has 37 (25.9%) missing values Missing
w2_E01_1 has 5 (3.5%) missing values Missing
w2_E01_2 has 5 (3.5%) missing values Missing
w2_E01_3 has 6 (4.2%) missing values Missing
w2_E01_4 has 5 (3.5%) missing values Missing
w2_E01_5 has 6 (4.2%) missing values Missing
w2_E01_6 has 6 (4.2%) missing values Missing
w2_E02_1 has 4 (2.8%) missing values Missing
w2_E02_2 has 4 (2.8%) missing values Missing
w2_E02_3 has 4 (2.8%) missing values Missing
w2_E02_4 has 4 (2.8%) missing values Missing
w2_E02_5 has 5 (3.5%) missing values Missing
w2_F02_1 has 11 (7.7%) missing values Missing
w2_F02_2 has 11 (7.7%) missing values Missing
w2_F02_3 has 11 (7.7%) missing values Missing
w2_F02_4 has 11 (7.7%) missing values Missing
w2_F02_5 has 11 (7.7%) missing values Missing
w2_F02_6 has 11 (7.7%) missing values Missing
w2_F02_7 has 11 (7.7%) missing values Missing
w2_F02_8 has 11 (7.7%) missing values Missing
w2_F02_9 has 13 (9.1%) missing values Missing
w2_F02_10 has 11 (7.7%) missing values Missing
w2_F02_11 has 12 (8.4%) missing values Missing
w2_F02_12 has 11 (7.7%) missing values Missing
w2_F02_13 has 11 (7.7%) missing values Missing
w2_F02_14 has 11 (7.7%) missing values Missing
w2_F02_15 has 11 (7.7%) missing values Missing
w2_F02_16 has 11 (7.7%) missing values Missing
w2_F02_17 has 11 (7.7%) missing values Missing
w2_F02_18 has 12 (8.4%) missing values Missing
w2_F02_19 has 12 (8.4%) missing values Missing
w2_F02_20 has 11 (7.7%) missing values Missing
w2_F01_1 has 11 (7.7%) missing values Missing
w2_F01_2 has 11 (7.7%) missing values Missing
w2_F01_3 has 11 (7.7%) missing values Missing
w2_F01_4 has 11 (7.7%) missing values Missing
w2_F01_5 has 11 (7.7%) missing values Missing
w2_F01_6 has 11 (7.7%) missing values Missing
w2_F01_7 has 13 (9.1%) missing values Missing
w2_F01_8 has 11 (7.7%) missing values Missing
w2_F01_9 has 11 (7.7%) missing values Missing
w2_F01_10 has 11 (7.7%) missing values Missing
w2_F01_11 has 11 (7.7%) missing values Missing
w2_F01_12 has 11 (7.7%) missing values Missing
w2_F01_13 has 11 (7.7%) missing values Missing
w2_F01_14 has 11 (7.7%) missing values Missing
w2_F01_15 has 12 (8.4%) missing values Missing
w2_F01_16 has 11 (7.7%) missing values Missing
w2_F01_17 has 11 (7.7%) missing values Missing
w2_F01_18 has 11 (7.7%) missing values Missing
w2_F01_19 has 11 (7.7%) missing values Missing
w2_F01_20 has 11 (7.7%) missing values Missing
w2_F01_21 has 11 (7.7%) missing values Missing
w2_F01_22 has 11 (7.7%) missing values Missing
w2_F01_23 has 11 (7.7%) missing values Missing
w2_F01_24 has 11 (7.7%) missing values Missing
w2_F01_25 has 11 (7.7%) missing values Missing
w2_F01_26 has 11 (7.7%) missing values Missing
w2_F01_27 has 11 (7.7%) missing values Missing
w2_F01_28 has 11 (7.7%) missing values Missing
w2_F01_29 has 11 (7.7%) missing values Missing
w2_F01_30 has 11 (7.7%) missing values Missing
w2_F01_31 has 12 (8.4%) missing values Missing
w2_F01_32 has 11 (7.7%) missing values Missing
w2_F01_33 has 11 (7.7%) missing values Missing
w2_F01_34 has 11 (7.7%) missing values Missing
w2_F01_35 has 11 (7.7%) missing values Missing
w2_F01_36 has 11 (7.7%) missing values Missing
w2_F01_37 has 11 (7.7%) missing values Missing
w2_F01_38 has 11 (7.7%) missing values Missing
w2_F01_39 has 11 (7.7%) missing values Missing
w2_F01_40 has 11 (7.7%) missing values Missing
w2_GT_A1 has 2 (1.4%) missing values Missing
w2_GT_A2 has 2 (1.4%) missing values Missing
w2_GT_B has 2 (1.4%) missing values Missing
w2_GT_C has 2 (1.4%) missing values Missing
w2_GT_D has 3 (2.1%) missing values Missing
w2_GT_E has 4 (2.8%) missing values Missing
w2_GT_F has 10 (7.0%) missing values Missing
token has unique values Unique
w2_datestamp has unique values Unique
w2_A03 has 45 (31.5%) zeros Zeros
w2_A06_1 has 5 (3.5%) zeros Zeros
w2_A06_2 has 4 (2.8%) zeros Zeros
w2_interviewtime has 2 (1.4%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:46:11.995057
Analysis finished2025-02-26 16:46:12.338677
Duration0.34 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2025-02-26T17:46:12.522848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters2145
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)100.0%

Sample

1st row0buvbvG5byaOZjW
2nd row0fTa0mMzcl6d4Ia
3rd row0fb9gVGv21uxpSQ
4th row0gA2CMV0j1wVZp4
5th row0vhmpQeXDMYM8bi
ValueCountFrequency (%)
0buvbvg5byaozjw 1
 
0.7%
0fta0mmzcl6d4ia 1
 
0.7%
0fb9gvgv21uxpsq 1
 
0.7%
0ga2cmv0j1wvzp4 1
 
0.7%
0vhmpqexdmym8bi 1
 
0.7%
11fhnhaspf5sbhz 1
 
0.7%
1pdx9zqbs3as3mg 1
 
0.7%
1pauxlzclm9pfuh 1
 
0.7%
1hcfbvoxf2jqikt 1
 
0.7%
2myznbduhczzsrw 1
 
0.7%
Other values (133) 133
93.0%
2025-02-26T17:46:12.747580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 67
 
3.1%
a 62
 
2.9%
Z 48
 
2.2%
p 46
 
2.1%
D 43
 
2.0%
s 43
 
2.0%
h 42
 
2.0%
J 42
 
2.0%
7 42
 
2.0%
4 41
 
1.9%
Other values (52) 1669
77.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2145
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 67
 
3.1%
a 62
 
2.9%
Z 48
 
2.2%
p 46
 
2.1%
D 43
 
2.0%
s 43
 
2.0%
h 42
 
2.0%
J 42
 
2.0%
7 42
 
2.0%
4 41
 
1.9%
Other values (52) 1669
77.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2145
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 67
 
3.1%
a 62
 
2.9%
Z 48
 
2.2%
p 46
 
2.1%
D 43
 
2.0%
s 43
 
2.0%
h 42
 
2.0%
J 42
 
2.0%
7 42
 
2.0%
4 41
 
1.9%
Other values (52) 1669
77.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2145
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 67
 
3.1%
a 62
 
2.9%
Z 48
 
2.2%
p 46
 
2.1%
D 43
 
2.0%
s 43
 
2.0%
h 42
 
2.0%
J 42
 
2.0%
7 42
 
2.0%
4 41
 
1.9%
Other values (52) 1669
77.8%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2025-02-26T17:46:12.822634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1001
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetUK
2nd rowwenetUK
3rd rowwenetUK
4th rowwenetUK
5th rowwenetUK
ValueCountFrequency (%)
wenetuk 143
100.0%
2025-02-26T17:46:13.021337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 286
28.6%
w 143
14.3%
n 143
14.3%
t 143
14.3%
U 143
14.3%
K 143
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1001
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 286
28.6%
w 143
14.3%
n 143
14.3%
t 143
14.3%
U 143
14.3%
K 143
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1001
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 286
28.6%
w 143
14.3%
n 143
14.3%
t 143
14.3%
U 143
14.3%
K 143
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1001
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 286
28.6%
w 143
14.3%
n 143
14.3%
t 143
14.3%
U 143
14.3%
K 143
14.3%

w2_lastpage
Real number (ℝ)

Missing 

lastpage

Distinct4
Distinct (%)2.8%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.893617021
Minimum0
Maximum7
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:13.078140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q17
median7
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6403361579
Coefficient of variation (CV)0.09288826982
Kurtosis97.8231915
Mean6.893617021
Median Absolute Deviation (MAD)0
Skewness-9.341645
Sum972
Variance0.4100303951
MonotonicityNot monotonic
2025-02-26T17:46:13.334737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7 133
93.0%
6 6
 
4.2%
5 1
 
0.7%
0 1
 
0.7%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
0 1
 
0.7%
5 1
 
0.7%
6 6
 
4.2%
7 133
93.0%
ValueCountFrequency (%)
7 133
93.0%
6 6
 
4.2%
5 1
 
0.7%
0 1
 
0.7%

w2_submitdate
Date

Missing 

submitdate

Distinct133
Distinct (%)100.0%
Missing10
Missing (%)7.0%
Memory size1.2 KiB
Minimum2020-11-17 11:50:57
Maximum2020-12-02 18:20:33
2025-02-26T17:46:13.828807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:13.906077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_startlanguage
Text

startlanguage

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-02-26T17:46:13.955512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.06993007
Min length2

Characters and Unicode

Total characters296
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 141
98.6%
zh-hans 2
 
1.4%
2025-02-26T17:46:14.042799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 143
48.3%
e 141
47.6%
z 2
 
0.7%
h 2
 
0.7%
- 2
 
0.7%
H 2
 
0.7%
a 2
 
0.7%
s 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 296
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 143
48.3%
e 141
47.6%
z 2
 
0.7%
h 2
 
0.7%
- 2
 
0.7%
H 2
 
0.7%
a 2
 
0.7%
s 2
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 296
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 143
48.3%
e 141
47.6%
z 2
 
0.7%
h 2
 
0.7%
- 2
 
0.7%
H 2
 
0.7%
a 2
 
0.7%
s 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 296
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 143
48.3%
e 141
47.6%
z 2
 
0.7%
h 2
 
0.7%
- 2
 
0.7%
H 2
 
0.7%
a 2
 
0.7%
s 2
 
0.7%

w2_startdate
Date

startdate

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2020-11-17 11:43:17
Maximum2020-12-02 18:08:58
2025-02-26T17:46:14.095368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:14.154789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_datestamp
Date

Unique 

datestamp

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2020-11-17 11:50:57
Maximum2020-12-02 18:20:33
2025-02-26T17:46:14.210180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:14.265696image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_refurl
Text

Missing 

refurl

Distinct2
Distinct (%)66.7%
Missing140
Missing (%)97.9%
Memory size1.3 KiB
2025-02-26T17:46:14.353314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length10
Mean length11
Min length10

Characters and Unicode

Total characters33
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowandroid-gmail
2nd rowlimesurvey
3rd rowlimesurvey
ValueCountFrequency (%)
limesurvey 2
66.7%
android-gmail 1
33.3%
2025-02-26T17:46:14.488340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 4
12.1%
e 4
12.1%
l 3
9.1%
m 3
9.1%
r 3
9.1%
s 2
 
6.1%
u 2
 
6.1%
v 2
 
6.1%
y 2
 
6.1%
a 2
 
6.1%
Other values (5) 6
18.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 33
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 4
12.1%
e 4
12.1%
l 3
9.1%
m 3
9.1%
r 3
9.1%
s 2
 
6.1%
u 2
 
6.1%
v 2
 
6.1%
y 2
 
6.1%
a 2
 
6.1%
Other values (5) 6
18.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 33
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 4
12.1%
e 4
12.1%
l 3
9.1%
m 3
9.1%
r 3
9.1%
s 2
 
6.1%
u 2
 
6.1%
v 2
 
6.1%
y 2
 
6.1%
a 2
 
6.1%
Other values (5) 6
18.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 33
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 4
12.1%
e 4
12.1%
l 3
9.1%
m 3
9.1%
r 3
9.1%
s 2
 
6.1%
u 2
 
6.1%
v 2
 
6.1%
y 2
 
6.1%
a 2
 
6.1%
Other values (5) 6
18.2%

w2_A01
Real number (ℝ)

Missing 

With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________

Distinct5
Distinct (%)3.5%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.184397163
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:14.534340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.734535083
Coefficient of variation (CV)0.5446980997
Kurtosis-1.391143026
Mean3.184397163
Median Absolute Deviation (MAD)1
Skewness0.4277901254
Sum449
Variance3.008611955
MonotonicityNot monotonic
2025-02-26T17:46:14.584661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 56
39.2%
5 33
23.1%
1 19
 
13.3%
6 18
 
12.6%
3 15
 
10.5%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
1 19
 
13.3%
2 56
39.2%
3 15
 
10.5%
5 33
23.1%
6 18
 
12.6%
ValueCountFrequency (%)
6 18
 
12.6%
5 33
23.1%
3 15
 
10.5%
2 56
39.2%
1 19
 
13.3%

w2_A01_other
Text

Missing 

With whom do you live? Answer: Other, please specify: ________

Distinct18
Distinct (%)100.0%
Missing125
Missing (%)87.4%
Memory size1.7 KiB
2025-02-26T17:46:14.728921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length74
Median length36
Mean length25.11111111
Min length6

Characters and Unicode

Total characters452
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st rowI am lodging with a family
2nd rowFlatmates (workign full-time)
3rd rowFlatmate
4th rowFlat mates
5th rowgirlfriend
ValueCountFrequency (%)
a 5
 
6.6%
in 4
 
5.3%
i 3
 
3.9%
other 3
 
3.9%
student 3
 
3.9%
family 2
 
2.6%
flatmates 2
 
2.6%
housemates 2
 
2.6%
and 2
 
2.6%
work 2
 
2.6%
Other values (45) 48
63.2%
2025-02-26T17:46:14.887726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
12.8%
e 42
 
9.3%
o 37
 
8.2%
t 37
 
8.2%
a 36
 
8.0%
n 29
 
6.4%
r 27
 
6.0%
s 21
 
4.6%
i 19
 
4.2%
l 18
 
4.0%
Other values (27) 128
28.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 452
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
58
12.8%
e 42
 
9.3%
o 37
 
8.2%
t 37
 
8.2%
a 36
 
8.0%
n 29
 
6.4%
r 27
 
6.0%
s 21
 
4.6%
i 19
 
4.2%
l 18
 
4.0%
Other values (27) 128
28.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 452
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
58
12.8%
e 42
 
9.3%
o 37
 
8.2%
t 37
 
8.2%
a 36
 
8.0%
n 29
 
6.4%
r 27
 
6.0%
s 21
 
4.6%
i 19
 
4.2%
l 18
 
4.0%
Other values (27) 128
28.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 452
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
58
12.8%
e 42
 
9.3%
o 37
 
8.2%
t 37
 
8.2%
a 36
 
8.0%
n 29
 
6.4%
r 27
 
6.0%
s 21
 
4.6%
i 19
 
4.2%
l 18
 
4.0%
Other values (27) 128
28.3%

w2_A02
Real number (ℝ)

Missing 

In addition to you, how many people do you share the accommodation with? |__|

Distinct14
Distinct (%)11.5%
Missing21
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean15.46721311
Minimum1
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:14.938044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile13.95
Maximum400
Range399
Interquartile range (IQR)2

Descriptive statistics

Standard deviation61.53023639
Coefficient of variation (CV)3.978107493
Kurtosis27.78981151
Mean15.46721311
Median Absolute Deviation (MAD)1
Skewness5.250431712
Sum1887
Variance3785.969991
MonotonicityNot monotonic
2025-02-26T17:46:14.982641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 27
18.9%
3 27
18.9%
1 25
17.5%
4 16
11.2%
5 10
 
7.0%
7 5
 
3.5%
6 3
 
2.1%
250 2
 
1.4%
400 2
 
1.4%
14 1
 
0.7%
Other values (4) 4
 
2.8%
(Missing) 21
14.7%
ValueCountFrequency (%)
1 25
17.5%
2 27
18.9%
3 27
18.9%
4 16
11.2%
5 10
 
7.0%
ValueCountFrequency (%)
400 2
1.4%
250 2
1.4%
200 1
0.7%
25 1
0.7%
14 1
0.7%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct14
Distinct (%)11.6%
Missing22
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean14.31404959
Minimum0
Maximum400
Zeros45
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.029616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum400
Range400
Interquartile range (IQR)3

Descriptive statistics

Standard deviation62.0352095
Coefficient of variation (CV)4.333868562
Kurtosis27.45779367
Mean14.31404959
Median Absolute Deviation (MAD)1
Skewness5.220538182
Sum1732
Variance3848.367218
MonotonicityNot monotonic
2025-02-26T17:46:15.073729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 45
31.5%
1 23
16.1%
2 14
 
9.8%
3 11
 
7.7%
4 8
 
5.6%
5 6
 
4.2%
7 3
 
2.1%
6 3
 
2.1%
250 2
 
1.4%
400 2
 
1.4%
Other values (4) 4
 
2.8%
(Missing) 22
15.4%
ValueCountFrequency (%)
0 45
31.5%
1 23
16.1%
2 14
 
9.8%
3 11
 
7.7%
4 8
 
5.6%
ValueCountFrequency (%)
400 2
1.4%
250 2
1.4%
200 1
0.7%
25 1
0.7%
14 1
0.7%

w2_A04
Real number (ℝ)

Missing 

Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more

Distinct3
Distinct (%)2.5%
Missing22
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean1.247933884
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.114324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4704783335
Coefficient of variation (CV)0.3770058169
Kurtosis1.843399301
Mean1.247933884
Median Absolute Deviation (MAD)0
Skewness1.659768458
Sum151
Variance0.2213498623
MonotonicityNot monotonic
2025-02-26T17:46:15.153778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 93
65.0%
2 26
 
18.2%
3 2
 
1.4%
(Missing) 22
 
15.4%
ValueCountFrequency (%)
1 93
65.0%
2 26
 
18.2%
3 2
 
1.4%
ValueCountFrequency (%)
3 2
 
1.4%
2 26
 
18.2%
1 93
65.0%

w2_A05_1
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
76 
True
67 
ValueCountFrequency (%)
False 76
53.1%
True 67
46.9%
2025-02-26T17:46:15.194913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
126 
True
17 
ValueCountFrequency (%)
False 126
88.1%
True 17
 
11.9%
2025-02-26T17:46:15.229396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

Imbalance 

In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
130 
True
 
13
ValueCountFrequency (%)
False 130
90.9%
True 13
 
9.1%
2025-02-26T17:46:15.264774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
127 
True
16 
ValueCountFrequency (%)
False 127
88.8%
True 16
 
11.2%
2025-02-26T17:46:15.299225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
115 
True
28 
ValueCountFrequency (%)
False 115
80.4%
True 28
 
19.6%
2025-02-26T17:46:15.342774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

Imbalance 

In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
134 
False
 
9
ValueCountFrequency (%)
True 134
93.7%
False 9
 
6.3%
2025-02-26T17:46:15.407266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
91 
True
52 
ValueCountFrequency (%)
False 91
63.6%
True 52
36.4%
2025-02-26T17:46:15.442073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
119 
True
24 
ValueCountFrequency (%)
False 119
83.2%
True 24
 
16.8%
2025-02-26T17:46:15.478303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
97 
True
46 
ValueCountFrequency (%)
False 97
67.8%
True 46
32.2%
2025-02-26T17:46:15.514534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

Imbalance 

In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
135 
False
 
8
ValueCountFrequency (%)
True 135
94.4%
False 8
 
5.6%
2025-02-26T17:46:15.548890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

Missing  Zeros 

All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________

Distinct28
Distinct (%)21.4%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean35.25954198
Minimum0
Maximum300
Zeros5
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.586230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median30
Q340
95-th percentile72
Maximum300
Range300
Interquartile range (IQR)20

Descriptive statistics

Standard deviation30.92685858
Coefficient of variation (CV)0.8771202584
Kurtosis41.1557735
Mean35.25954198
Median Absolute Deviation (MAD)10
Skewness5.165213241
Sum4619
Variance956.4705813
MonotonicityNot monotonic
2025-02-26T17:46:15.631967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
30.0 25
17.5%
40.0 15
10.5%
20.0 14
9.8%
25.0 10
 
7.0%
10.0 8
 
5.6%
60.0 8
 
5.6%
45.0 7
 
4.9%
50.0 6
 
4.2%
0.0 5
 
3.5%
15.0 5
 
3.5%
Other values (18) 28
19.6%
(Missing) 12
8.4%
ValueCountFrequency (%)
0.0 5
3.5%
8.0 1
 
0.7%
10.0 8
5.6%
11.0 1
 
0.7%
12.0 3
 
2.1%
ValueCountFrequency (%)
300.0 1
 
0.7%
120.0 1
 
0.7%
90.0 3
2.1%
88.0 1
 
0.7%
74.0 1
 
0.7%

w2_A06_2
Real number (ℝ)

Missing  Zeros 

All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)

Distinct74
Distinct (%)58.7%
Missing17
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean74.32515873
Minimum0
Maximum3862
Zeros4
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.681229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6875
Q11.575
median4
Q38
95-th percentile89.5
Maximum3862
Range3862
Interquartile range (IQR)6.425

Descriptive statistics

Standard deviation420.9140478
Coefficient of variation (CV)5.663143611
Kurtosis59.47557501
Mean74.32515873
Median Absolute Deviation (MAD)2.5
Skewness7.444872688
Sum9364.97
Variance177168.6357
MonotonicityNot monotonic
2025-02-26T17:46:15.736852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5 8
 
5.6%
4.0 8
 
5.6%
2.0 5
 
3.5%
0.0 4
 
2.8%
1.0 4
 
2.8%
0.8 4
 
2.8%
1.2 4
 
2.8%
5.0 3
 
2.1%
2.8 3
 
2.1%
3.2 3
 
2.1%
Other values (64) 80
55.9%
(Missing) 17
 
11.9%
ValueCountFrequency (%)
0.0 4
2.8%
0.5 1
 
0.7%
0.6 1
 
0.7%
0.65 1
 
0.7%
0.8 4
2.8%
ValueCountFrequency (%)
3862.0 1
0.7%
2253.0 1
0.7%
1609.0 1
0.7%
400.0 1
0.7%
250.0 1
0.7%

w2_A07
Real number (ℝ)

Missing 

Have you been in paid employment in the last year or so? 1. Yes 2. No

Distinct2
Distinct (%)1.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.392857143
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.785268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4901391459
Coefficient of variation (CV)0.3518947714
Kurtosis-1.829627128
Mean1.392857143
Median Absolute Deviation (MAD)0
Skewness0.4435297735
Sum195
Variance0.2402363823
MonotonicityNot monotonic
2025-02-26T17:46:15.824313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 85
59.4%
2 55
38.5%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
1 85
59.4%
2 55
38.5%
ValueCountFrequency (%)
2 55
38.5%
1 85
59.4%

w2_A08
Real number (ℝ)

Missing 

Do you currently do any work, including occasional work? 1. Yes 2. No

Distinct2
Distinct (%)1.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.735714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.861633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44253544
Coefficient of variation (CV)0.2549586897
Kurtosis-0.8442930364
Mean1.735714286
Median Absolute Deviation (MAD)0
Skewness-1.080728969
Sum243
Variance0.1958376156
MonotonicityNot monotonic
2025-02-26T17:46:15.899957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 103
72.0%
1 37
 
25.9%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
1 37
 
25.9%
2 103
72.0%
ValueCountFrequency (%)
2 103
72.0%
1 37
 
25.9%

w2_B01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.485714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:15.938840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5015904817
Coefficient of variation (CV)0.337608978
Kurtosis-2.025809319
Mean1.485714286
Median Absolute Deviation (MAD)0
Skewness0.05778719554
Sum208
Variance0.2515930113
MonotonicityNot monotonic
2025-02-26T17:46:15.978222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 72
50.3%
2 68
47.6%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
1 72
50.3%
2 68
47.6%
ValueCountFrequency (%)
2 68
47.6%
1 72
50.3%

w2_B01_2
Real number (ℝ)

Missing 

Do you have a motorbike driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.934782609
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.016711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.247808548
Coefficient of variation (CV)0.1280808226
Kurtosis10.8348719
Mean1.934782609
Median Absolute Deviation (MAD)0
Skewness-3.560623506
Sum267
Variance0.06140907648
MonotonicityNot monotonic
2025-02-26T17:46:16.117650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 129
90.2%
1 9
 
6.3%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
1 9
 
6.3%
2 129
90.2%
ValueCountFrequency (%)
2 129
90.2%
1 9
 
6.3%

w2_B01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.805755396
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.154482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.397048857
Coefficient of variation (CV)0.2198796459
Kurtosis0.4480314632
Mean1.805755396
Median Absolute Deviation (MAD)0
Skewness-1.562623706
Sum251
Variance0.1576477948
MonotonicityNot monotonic
2025-02-26T17:46:16.192352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 112
78.3%
1 27
 
18.9%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 27
 
18.9%
2 112
78.3%
ValueCountFrequency (%)
2 112
78.3%
1 27
 
18.9%

w2_B01_4
Real number (ℝ)

Missing 

Do you have a car of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.928571429
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.228517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2584641172
Coefficient of variation (CV)0.1340184312
Kurtosis9.453750946
Mean1.928571429
Median Absolute Deviation (MAD)0
Skewness-3.364355666
Sum270
Variance0.0668036999
MonotonicityNot monotonic
2025-02-26T17:46:16.266948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 130
90.9%
1 10
 
7.0%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
1 10
 
7.0%
2 130
90.9%
ValueCountFrequency (%)
2 130
90.9%
1 10
 
7.0%

w2_B01_5
Real number (ℝ)

Missing 

Do you have a motorbike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.985611511
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.303590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1195166298
Coefficient of variation (CV)0.06019134616
Kurtosis66.94128616
Mean1.985611511
Median Absolute Deviation (MAD)0
Skewness-8.244889951
Sum276
Variance0.01428422479
MonotonicityNot monotonic
2025-02-26T17:46:16.342008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 137
95.8%
1 2
 
1.4%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 2
 
1.4%
2 137
95.8%
ValueCountFrequency (%)
2 137
95.8%
1 2
 
1.4%

w2_B01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.833333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.379895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3740356619
Coefficient of variation (CV)0.204019452
Kurtosis1.289411765
Mean1.833333333
Median Absolute Deviation (MAD)0
Skewness-1.808572436
Sum253
Variance0.1399026764
MonotonicityNot monotonic
2025-02-26T17:46:16.417653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 115
80.4%
1 23
 
16.1%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
1 23
 
16.1%
2 115
80.4%
ValueCountFrequency (%)
2 115
80.4%
1 23
 
16.1%

w2_B01_7
Real number (ℝ)

Missing 

Do you have access to a motorbike whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)1.4%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.985611511
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.455044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1195166298
Coefficient of variation (CV)0.06019134616
Kurtosis66.94128616
Mean1.985611511
Median Absolute Deviation (MAD)0
Skewness-8.244889951
Sum276
Variance0.01428422479
MonotonicityNot monotonic
2025-02-26T17:46:16.493726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 137
95.8%
1 2
 
1.4%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 2
 
1.4%
2 137
95.8%
ValueCountFrequency (%)
2 137
95.8%
1 2
 
1.4%

w2_B02_1
Boolean

Imbalance 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
130 
False
 
13
ValueCountFrequency (%)
True 130
90.9%
False 13
 
9.1%
2025-02-26T17:46:16.531761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
122 
True
21 
ValueCountFrequency (%)
False 122
85.3%
True 21
 
14.7%
2025-02-26T17:46:16.567084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

Imbalance 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
128 
True
15 
ValueCountFrequency (%)
False 128
89.5%
True 15
 
10.5%
2025-02-26T17:46:16.601510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
125 
True
18 
ValueCountFrequency (%)
False 125
87.4%
True 18
 
12.6%
2025-02-26T17:46:16.636904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Imbalance 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
142 
True
 
1
ValueCountFrequency (%)
False 142
99.3%
True 1
 
0.7%
2025-02-26T17:46:16.671076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
119 
False
24 
ValueCountFrequency (%)
True 119
83.2%
False 24
 
16.8%
2025-02-26T17:46:16.705035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
108 
True
35 
ValueCountFrequency (%)
False 108
75.5%
True 35
 
24.5%
2025-02-26T17:46:16.739214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Constant 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
143 
ValueCountFrequency (%)
False 143
100.0%
2025-02-26T17:46:16.771904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B03
Real number (ℝ)

Missing 

How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday

Distinct6
Distinct (%)4.3%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean3.553956835
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.803996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.475267904
Coefficient of variation (CV)0.4151057463
Kurtosis-1.045369194
Mean3.553956835
Median Absolute Deviation (MAD)1
Skewness-0.4711634718
Sum494
Variance2.176415389
MonotonicityNot monotonic
2025-02-26T17:46:16.841757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 48
33.6%
5 38
26.6%
2 26
18.2%
1 18
 
12.6%
6 5
 
3.5%
3 4
 
2.8%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 18
 
12.6%
2 26
18.2%
3 4
 
2.8%
4 48
33.6%
5 38
26.6%
ValueCountFrequency (%)
6 5
 
3.5%
5 38
26.6%
4 48
33.6%
3 4
 
2.8%
2 26
18.2%

w2_C01
Real number (ℝ)

Missing 

Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]

Distinct3
Distinct (%)2.1%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.326241135
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.877367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5140379905
Coefficient of variation (CV)0.3875901426
Kurtosis0.4475608743
Mean1.326241135
Median Absolute Deviation (MAD)0
Skewness1.221498153
Sum187
Variance0.2642350557
MonotonicityNot monotonic
2025-02-26T17:46:16.917832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 98
68.5%
2 40
28.0%
3 3
 
2.1%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
1 98
68.5%
2 40
28.0%
3 3
 
2.1%
ValueCountFrequency (%)
3 3
 
2.1%
2 40
28.0%
1 98
68.5%

w2_C02
Real number (ℝ)

Missing 

Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.

Distinct3
Distinct (%)2.8%
Missing37
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.056603774
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:16.957078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3033209421
Coefficient of variation (CV)0.2870716059
Kurtosis32.78647935
Mean1.056603774
Median Absolute Deviation (MAD)0
Skewness5.683776405
Sum112
Variance0.09200359389
MonotonicityNot monotonic
2025-02-26T17:46:16.997668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 102
71.3%
3 2
 
1.4%
2 2
 
1.4%
(Missing) 37
 
25.9%
ValueCountFrequency (%)
1 102
71.3%
2 2
 
1.4%
3 2
 
1.4%
ValueCountFrequency (%)
3 2
 
1.4%
2 2
 
1.4%
1 102
71.3%

w2_C03_1
Real number (ℝ)

Missing 

How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)5.8%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean4.525547445
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.036547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.054694381
Coefficient of variation (CV)0.4540211778
Kurtosis-0.9776237176
Mean4.525547445
Median Absolute Deviation (MAD)2
Skewness-0.290005707
Sum620
Variance4.221769
MonotonicityNot monotonic
2025-02-26T17:46:17.075050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 23
16.1%
6 23
16.1%
5 23
16.1%
4 22
15.4%
1 17
11.9%
3 13
9.1%
2 11
7.7%
8 5
 
3.5%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 17
11.9%
2 11
7.7%
3 13
9.1%
4 22
15.4%
5 23
16.1%
ValueCountFrequency (%)
8 5
 
3.5%
7 23
16.1%
6 23
16.1%
5 23
16.1%
4 22
15.4%

w2_C03_2
Real number (ℝ)

Missing 

How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct7
Distinct (%)5.1%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean5.883211679
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.112017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum8
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.393607746
Coefficient of variation (CV)0.236878736
Kurtosis-0.3152209113
Mean5.883211679
Median Absolute Deviation (MAD)1
Skewness-0.7643304482
Sum806
Variance1.94214255
MonotonicityNot monotonic
2025-02-26T17:46:17.149597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 61
42.7%
5 26
18.2%
6 20
 
14.0%
4 16
 
11.2%
3 7
 
4.9%
8 5
 
3.5%
2 2
 
1.4%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
2 2
 
1.4%
3 7
 
4.9%
4 16
11.2%
5 26
18.2%
6 20
14.0%
ValueCountFrequency (%)
8 5
 
3.5%
7 61
42.7%
6 20
 
14.0%
5 26
18.2%
4 16
 
11.2%

w2_C03_3
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)5.8%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean5.569343066
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.187085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q14
median6
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.877872781
Coefficient of variation (CV)0.3371803028
Kurtosis-0.03378555746
Mean5.569343066
Median Absolute Deviation (MAD)1
Skewness-0.8095425645
Sum763
Variance3.526406183
MonotonicityNot monotonic
2025-02-26T17:46:17.227412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 39
27.3%
6 25
17.5%
5 22
15.4%
8 16
11.2%
4 15
 
10.5%
3 9
 
6.3%
1 7
 
4.9%
2 4
 
2.8%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 7
 
4.9%
2 4
 
2.8%
3 9
6.3%
4 15
10.5%
5 22
15.4%
ValueCountFrequency (%)
8 16
11.2%
7 39
27.3%
6 25
17.5%
5 22
15.4%
4 15
 
10.5%

w2_C03_4
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)5.8%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.267632image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.065116433
Coefficient of variation (CV)0.4130232866
Kurtosis-0.8448915155
Mean5
Median Absolute Deviation (MAD)2
Skewness-0.3456801371
Sum685
Variance4.264705882
MonotonicityNot monotonic
2025-02-26T17:46:17.309706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 29
20.3%
4 22
15.4%
5 22
15.4%
6 17
11.9%
3 15
10.5%
8 14
9.8%
1 11
 
7.7%
2 7
 
4.9%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 11
7.7%
2 7
 
4.9%
3 15
10.5%
4 22
15.4%
5 22
15.4%
ValueCountFrequency (%)
8 14
9.8%
7 29
20.3%
6 17
11.9%
5 22
15.4%
4 22
15.4%

w2_C03_5
Real number (ℝ)

Missing 

How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct7
Distinct (%)5.1%
Missing7
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean5.985294118
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.351687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum8
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.22314285
Coefficient of variation (CV)0.2043580192
Kurtosis0.1263313982
Mean5.985294118
Median Absolute Deviation (MAD)1
Skewness-0.7357630156
Sum814
Variance1.496078431
MonotonicityNot monotonic
2025-02-26T17:46:17.392967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 53
37.1%
6 32
22.4%
5 29
20.3%
4 11
 
7.7%
8 6
 
4.2%
3 4
 
2.8%
2 1
 
0.7%
(Missing) 7
 
4.9%
ValueCountFrequency (%)
2 1
 
0.7%
3 4
 
2.8%
4 11
 
7.7%
5 29
20.3%
6 32
22.4%
ValueCountFrequency (%)
8 6
 
4.2%
7 53
37.1%
6 32
22.4%
5 29
20.3%
4 11
 
7.7%

w2_C04
Real number (ℝ)

Missing 

How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never

Distinct5
Distinct (%)3.6%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.99270073
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.430881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.088011883
Coefficient of variation (CV)0.5459986374
Kurtosis0.4786983278
Mean1.99270073
Median Absolute Deviation (MAD)1
Skewness1.126998615
Sum273
Variance1.183769858
MonotonicityNot monotonic
2025-02-26T17:46:17.471955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 56
39.2%
1 53
37.1%
4 16
 
11.2%
3 8
 
5.6%
5 4
 
2.8%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 53
37.1%
2 56
39.2%
3 8
 
5.6%
4 16
 
11.2%
5 4
 
2.8%
ValueCountFrequency (%)
5 4
 
2.8%
4 16
 
11.2%
3 8
 
5.6%
2 56
39.2%
1 53
37.1%

w2_C05_1
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.

Distinct7
Distinct (%)5.1%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean5.02189781
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.509258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.763465644
Coefficient of variation (CV)0.3511552227
Kurtosis-0.5114358715
Mean5.02189781
Median Absolute Deviation (MAD)1
Skewness-0.53988668
Sum688
Variance3.109811078
MonotonicityNot monotonic
2025-02-26T17:46:17.545582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 43
30.1%
5 29
20.3%
4 28
19.6%
6 13
 
9.1%
3 11
 
7.7%
1 7
 
4.9%
2 6
 
4.2%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 7
 
4.9%
2 6
 
4.2%
3 11
 
7.7%
4 28
19.6%
5 29
20.3%
ValueCountFrequency (%)
7 43
30.1%
6 13
 
9.1%
5 29
20.3%
4 28
19.6%
3 11
 
7.7%

w2_C05_2
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.

Distinct7
Distinct (%)5.1%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean5.350364964
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.581276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.468248461
Coefficient of variation (CV)0.2744202444
Kurtosis-0.3977824872
Mean5.350364964
Median Absolute Deviation (MAD)1
Skewness-0.542351285
Sum733
Variance2.155753542
MonotonicityNot monotonic
2025-02-26T17:46:17.616922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 43
30.1%
5 32
22.4%
4 27
18.9%
6 22
15.4%
3 7
 
4.9%
2 5
 
3.5%
1 1
 
0.7%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 1
 
0.7%
2 5
 
3.5%
3 7
 
4.9%
4 27
18.9%
5 32
22.4%
ValueCountFrequency (%)
7 43
30.1%
6 22
15.4%
5 32
22.4%
4 27
18.9%
3 7
 
4.9%

w2_C05_3
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.

Distinct7
Distinct (%)5.1%
Missing7
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean4.860294118
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.652353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.700426065
Coefficient of variation (CV)0.3498607334
Kurtosis-0.4235917086
Mean4.860294118
Median Absolute Deviation (MAD)1
Skewness-0.493932769
Sum661
Variance2.891448802
MonotonicityNot monotonic
2025-02-26T17:46:17.689533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 35
24.5%
7 31
21.7%
3 21
14.7%
4 20
14.0%
6 19
13.3%
1 8
 
5.6%
2 2
 
1.4%
(Missing) 7
 
4.9%
ValueCountFrequency (%)
1 8
 
5.6%
2 2
 
1.4%
3 21
14.7%
4 20
14.0%
5 35
24.5%
ValueCountFrequency (%)
7 31
21.7%
6 19
13.3%
5 35
24.5%
4 20
14.0%
3 21
14.7%

w2_C05_4
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly

Distinct7
Distinct (%)5.1%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean3.04379562
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.728026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.599028258
Coefficient of variation (CV)0.525340219
Kurtosis0.2599195825
Mean3.04379562
Median Absolute Deviation (MAD)1
Skewness0.8473806094
Sum417
Variance2.55689137
MonotonicityNot monotonic
2025-02-26T17:46:17.765240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 39
27.3%
3 31
21.7%
4 25
17.5%
1 21
14.7%
5 9
 
6.3%
7 8
 
5.6%
6 4
 
2.8%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 21
14.7%
2 39
27.3%
3 31
21.7%
4 25
17.5%
5 9
 
6.3%
ValueCountFrequency (%)
7 8
 
5.6%
6 4
 
2.8%
5 9
 
6.3%
4 25
17.5%
3 31
21.7%

w2_C05_5
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.

Distinct6
Distinct (%)4.4%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean5.686131387
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.802330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.161590092
Coefficient of variation (CV)0.2042847787
Kurtosis0.3720149058
Mean5.686131387
Median Absolute Deviation (MAD)1
Skewness-0.7901944834
Sum779
Variance1.349291541
MonotonicityNot monotonic
2025-02-26T17:46:17.840453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 44
30.8%
7 39
27.3%
5 34
23.8%
4 14
 
9.8%
3 4
 
2.8%
2 2
 
1.4%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
2 2
 
1.4%
3 4
 
2.8%
4 14
 
9.8%
5 34
23.8%
6 44
30.8%
ValueCountFrequency (%)
7 39
27.3%
6 44
30.8%
5 34
23.8%
4 14
 
9.8%
3 4
 
2.8%

w2_C05_6
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.

Distinct6
Distinct (%)4.4%
Missing7
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.713235294
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.876265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460127281
Coefficient of variation (CV)0.5381498923
Kurtosis-0.600246404
Mean2.713235294
Median Absolute Deviation (MAD)1
Skewness0.5984853012
Sum369
Variance2.131971678
MonotonicityNot monotonic
2025-02-26T17:46:17.915154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 37
25.9%
1 33
23.1%
3 29
20.3%
4 16
11.2%
5 15
10.5%
6 6
 
4.2%
(Missing) 7
 
4.9%
ValueCountFrequency (%)
1 33
23.1%
2 37
25.9%
3 29
20.3%
4 16
11.2%
5 15
10.5%
ValueCountFrequency (%)
6 6
 
4.2%
5 15
10.5%
4 16
11.2%
3 29
20.3%
2 37
25.9%

w2_C05_7
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.

Distinct7
Distinct (%)5.1%
Missing7
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean4.617647059
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:17.950870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.75
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.615016677
Coefficient of variation (CV)0.3497488345
Kurtosis-0.9351142697
Mean4.617647059
Median Absolute Deviation (MAD)1
Skewness-0.05443077413
Sum628
Variance2.608278867
MonotonicityNot monotonic
2025-02-26T17:46:17.988199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 37
25.9%
6 23
16.1%
7 23
16.1%
3 20
14.0%
5 19
13.3%
2 12
 
8.4%
1 2
 
1.4%
(Missing) 7
 
4.9%
ValueCountFrequency (%)
1 2
 
1.4%
2 12
 
8.4%
3 20
14.0%
4 37
25.9%
5 19
13.3%
ValueCountFrequency (%)
7 23
16.1%
6 23
16.1%
5 19
13.3%
4 37
25.9%
3 20
14.0%

w2_C05_8
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.

Distinct7
Distinct (%)5.1%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean3.394160584
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:18.026124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.783740552
Coefficient of variation (CV)0.5255321626
Kurtosis-0.908432201
Mean3.394160584
Median Absolute Deviation (MAD)1
Skewness0.3496424496
Sum465
Variance3.181730356
MonotonicityNot monotonic
2025-02-26T17:46:18.073903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 28
19.6%
3 27
18.9%
5 25
17.5%
1 23
16.1%
4 16
11.2%
6 10
 
7.0%
7 8
 
5.6%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 23
16.1%
2 28
19.6%
3 27
18.9%
4 16
11.2%
5 25
17.5%
ValueCountFrequency (%)
7 8
 
5.6%
6 10
 
7.0%
5 25
17.5%
4 16
11.2%
3 27
18.9%

w2_C05_9
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.

Distinct7
Distinct (%)5.1%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean4.620437956
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:18.113212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.658894861
Coefficient of variation (CV)0.3590341168
Kurtosis-0.6864228071
Mean4.620437956
Median Absolute Deviation (MAD)1
Skewness-0.3372687767
Sum633
Variance2.75193216
MonotonicityNot monotonic
2025-02-26T17:46:18.157064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 36
25.2%
4 23
16.1%
6 22
15.4%
7 21
14.7%
3 17
11.9%
2 13
 
9.1%
1 5
 
3.5%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 5
 
3.5%
2 13
 
9.1%
3 17
11.9%
4 23
16.1%
5 36
25.2%
ValueCountFrequency (%)
7 21
14.7%
6 22
15.4%
5 36
25.2%
4 23
16.1%
3 17
11.9%

w2_C06_1
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
83 
False
60 
ValueCountFrequency (%)
True 83
58.0%
False 60
42.0%
2025-02-26T17:46:18.197520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

Imbalance 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
130 
False
 
13
ValueCountFrequency (%)
True 130
90.9%
False 13
 
9.1%
2025-02-26T17:46:18.303086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
119 
True
24 
ValueCountFrequency (%)
False 119
83.2%
True 24
 
16.8%
2025-02-26T17:46:18.340332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
88 
True
55 
ValueCountFrequency (%)
False 88
61.5%
True 55
38.5%
2025-02-26T17:46:18.376545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
111 
True
32 
ValueCountFrequency (%)
False 111
77.6%
True 32
 
22.4%
2025-02-26T17:46:18.415096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
97 
True
46 
ValueCountFrequency (%)
False 97
67.8%
True 46
32.2%
2025-02-26T17:46:18.452230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
True
72 
False
71 
ValueCountFrequency (%)
True 72
50.3%
False 71
49.7%
2025-02-26T17:46:18.488495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
124 
True
19 
ValueCountFrequency (%)
False 124
86.7%
True 19
 
13.3%
2025-02-26T17:46:18.525967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
124 
True
19 
ValueCountFrequency (%)
False 124
86.7%
True 19
 
13.3%
2025-02-26T17:46:18.564027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
123 
True
20 
ValueCountFrequency (%)
False 123
86.0%
True 20
 
14.0%
2025-02-26T17:46:18.599310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
110 
True
33 
ValueCountFrequency (%)
False 110
76.9%
True 33
 
23.1%
2025-02-26T17:46:18.633861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
96 
True
47 
ValueCountFrequency (%)
False 96
67.1%
True 47
32.9%
2025-02-26T17:46:18.669372image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
78 
True
65 
ValueCountFrequency (%)
False 78
54.5%
True 65
45.5%
2025-02-26T17:46:18.704058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)1.5%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.175182482
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:18.738980image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3815180633
Coefficient of variation (CV)0.3246458054
Kurtosis1.000338524
Mean1.175182482
Median Absolute Deviation (MAD)0
Skewness1.727989636
Sum161
Variance0.1455560326
MonotonicityNot monotonic
2025-02-26T17:46:18.776381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 113
79.0%
2 24
 
16.8%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 113
79.0%
2 24
 
16.8%
ValueCountFrequency (%)
2 24
 
16.8%
1 113
79.0%

w2_C09
Real number (ℝ)

Missing 

Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday

Distinct5
Distinct (%)3.6%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean3.182481752
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:18.812358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8420823114
Coefficient of variation (CV)0.2645992584
Kurtosis-0.034059132
Mean3.182481752
Median Absolute Deviation (MAD)1
Skewness-0.3577337889
Sum436
Variance0.7091026191
MonotonicityNot monotonic
2025-02-26T17:46:18.854044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 60
42.0%
4 47
32.9%
2 22
 
15.4%
1 4
 
2.8%
5 4
 
2.8%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 4
 
2.8%
2 22
 
15.4%
3 60
42.0%
4 47
32.9%
5 4
 
2.8%
ValueCountFrequency (%)
5 4
 
2.8%
4 47
32.9%
3 60
42.0%
2 22
 
15.4%
1 4
 
2.8%

w2_C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.0%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.446969697
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:18.892606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8588505894
Coefficient of variation (CV)0.3509853802
Kurtosis-0.6549902973
Mean2.446969697
Median Absolute Deviation (MAD)1
Skewness-0.126725375
Sum323
Variance0.737624335
MonotonicityNot monotonic
2025-02-26T17:46:18.930086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 55
38.5%
2 45
31.5%
1 20
 
14.0%
4 12
 
8.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 20
 
14.0%
2 45
31.5%
3 55
38.5%
4 12
 
8.4%
ValueCountFrequency (%)
4 12
 
8.4%
3 55
38.5%
2 45
31.5%
1 20
 
14.0%

w2_C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.1%
Missing13
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean1.630769231
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:18.965774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7485226953
Coefficient of variation (CV)0.458999766
Kurtosis0.7592842667
Mean1.630769231
Median Absolute Deviation (MAD)0
Skewness1.06262417
Sum212
Variance0.5602862254
MonotonicityNot monotonic
2025-02-26T17:46:19.002840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 66
46.2%
2 49
34.3%
3 12
 
8.4%
4 3
 
2.1%
(Missing) 13
 
9.1%
ValueCountFrequency (%)
1 66
46.2%
2 49
34.3%
3 12
 
8.4%
4 3
 
2.1%
ValueCountFrequency (%)
4 3
 
2.1%
3 12
 
8.4%
2 49
34.3%
1 66
46.2%

w2_C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.0%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.181818182
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.045069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5215681261
Coefficient of variation (CV)0.441326876
Kurtosis10.18820376
Mean1.181818182
Median Absolute Deviation (MAD)0
Skewness3.155861675
Sum156
Variance0.2720333102
MonotonicityNot monotonic
2025-02-26T17:46:19.088130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 115
80.4%
2 11
 
7.7%
3 5
 
3.5%
4 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 115
80.4%
2 11
 
7.7%
3 5
 
3.5%
4 1
 
0.7%
ValueCountFrequency (%)
4 1
 
0.7%
3 5
 
3.5%
2 11
 
7.7%
1 115
80.4%

w2_C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.0%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.598484848
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.129342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8183006828
Coefficient of variation (CV)0.511922702
Kurtosis0.5937686619
Mean1.598484848
Median Absolute Deviation (MAD)0
Skewness1.205297963
Sum211
Variance0.6696160074
MonotonicityNot monotonic
2025-02-26T17:46:19.173531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 77
53.8%
2 35
24.5%
3 16
 
11.2%
4 4
 
2.8%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 77
53.8%
2 35
24.5%
3 16
 
11.2%
4 4
 
2.8%
ValueCountFrequency (%)
4 4
 
2.8%
3 16
 
11.2%
2 35
24.5%
1 77
53.8%

w2_C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.0%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.446969697
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.214136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8131964443
Coefficient of variation (CV)0.3323279587
Kurtosis-0.4670633247
Mean2.446969697
Median Absolute Deviation (MAD)1
Skewness0.04398369065
Sum323
Variance0.6612884571
MonotonicityNot monotonic
2025-02-26T17:46:19.253631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 55
38.5%
3 50
35.0%
1 15
 
10.5%
4 12
 
8.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 15
 
10.5%
2 55
38.5%
3 50
35.0%
4 12
 
8.4%
ValueCountFrequency (%)
4 12
 
8.4%
3 50
35.0%
2 55
38.5%
1 15
 
10.5%

w2_C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.1%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.664122137
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.290857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.5
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8736368461
Coefficient of variation (CV)0.5249836093
Kurtosis0.628326306
Mean1.664122137
Median Absolute Deviation (MAD)0
Skewness1.205981232
Sum218
Variance0.7632413388
MonotonicityNot monotonic
2025-02-26T17:46:19.352579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 72
50.3%
2 38
26.6%
3 14
 
9.8%
4 7
 
4.9%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 72
50.3%
2 38
26.6%
3 14
 
9.8%
4 7
 
4.9%
ValueCountFrequency (%)
4 7
 
4.9%
3 14
 
9.8%
2 38
26.6%
1 72
50.3%

w2_C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)3.0%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.825757576
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.401606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8149014095
Coefficient of variation (CV)0.4463360417
Kurtosis0.3418850089
Mean1.825757576
Median Absolute Deviation (MAD)1
Skewness0.8475345406
Sum241
Variance0.6640643072
MonotonicityNot monotonic
2025-02-26T17:46:19.443071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 59
41.3%
1 51
35.7%
3 16
 
11.2%
4 6
 
4.2%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 51
35.7%
2 59
41.3%
3 16
 
11.2%
4 6
 
4.2%
ValueCountFrequency (%)
4 6
 
4.2%
3 16
 
11.2%
2 59
41.3%
1 51
35.7%

w2_C11
Real number (ℝ)

Missing 

How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.946969697
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.484843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.528780737
Coefficient of variation (CV)0.2715916626
Kurtosis0.6237634253
Mean1.946969697
Median Absolute Deviation (MAD)0
Skewness-0.06044557041
Sum257
Variance0.2796090678
MonotonicityNot monotonic
2025-02-26T17:46:19.526074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 95
66.4%
1 22
 
15.4%
3 15
 
10.5%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 22
 
15.4%
2 95
66.4%
3 15
 
10.5%
ValueCountFrequency (%)
3 15
 
10.5%
2 95
66.4%
1 22
 
15.4%

w2_C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)3.8%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.954198473
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.567795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.122240859
Coefficient of variation (CV)0.5742716894
Kurtosis0.8159680286
Mean1.954198473
Median Absolute Deviation (MAD)1
Skewness1.185566398
Sum256
Variance1.259424545
MonotonicityNot monotonic
2025-02-26T17:46:19.611358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 59
41.3%
2 38
26.6%
3 22
 
15.4%
5 7
 
4.9%
4 5
 
3.5%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 59
41.3%
2 38
26.6%
3 22
 
15.4%
4 5
 
3.5%
5 7
 
4.9%
ValueCountFrequency (%)
5 7
 
4.9%
4 5
 
3.5%
3 22
 
15.4%
2 38
26.6%
1 59
41.3%

w2_C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)3.8%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.770992366
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.651810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.160668809
Coefficient of variation (CV)0.6553776466
Kurtosis2.531473698
Mean1.770992366
Median Absolute Deviation (MAD)0
Skewness1.807971883
Sum232
Variance1.347152085
MonotonicityNot monotonic
2025-02-26T17:46:19.694034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 72
50.3%
2 40
28.0%
5 11
 
7.7%
3 7
 
4.9%
4 1
 
0.7%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 72
50.3%
2 40
28.0%
3 7
 
4.9%
4 1
 
0.7%
5 11
 
7.7%
ValueCountFrequency (%)
5 11
 
7.7%
4 1
 
0.7%
3 7
 
4.9%
2 40
28.0%
1 72
50.3%

w2_C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)3.8%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.689393939
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.734515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6316412132
Coefficient of variation (CV)0.1712045999
Kurtosis2.59857897
Mean3.689393939
Median Absolute Deviation (MAD)0
Skewness-1.302351154
Sum487
Variance0.3989706223
MonotonicityNot monotonic
2025-02-26T17:46:19.775044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 90
62.9%
3 32
 
22.4%
2 5
 
3.5%
5 4
 
2.8%
1 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 1
 
0.7%
2 5
 
3.5%
3 32
 
22.4%
4 90
62.9%
5 4
 
2.8%
ValueCountFrequency (%)
5 4
 
2.8%
4 90
62.9%
3 32
 
22.4%
2 5
 
3.5%
1 1
 
0.7%

w2_C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)3.8%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean2.564885496
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.814183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.271578284
Coefficient of variation (CV)0.4957641525
Kurtosis-0.9395299207
Mean2.564885496
Median Absolute Deviation (MAD)1
Skewness0.2970052549
Sum336
Variance1.616911333
MonotonicityNot monotonic
2025-02-26T17:46:19.855767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 37
25.9%
1 36
25.2%
2 27
18.9%
4 20
14.0%
5 11
 
7.7%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 36
25.2%
2 27
18.9%
3 37
25.9%
4 20
14.0%
5 11
 
7.7%
ValueCountFrequency (%)
5 11
 
7.7%
4 20
14.0%
3 37
25.9%
2 27
18.9%
1 36
25.2%

w2_C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)3.8%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.977099237
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.897131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.186239364
Coefficient of variation (CV)0.5999897941
Kurtosis1.148872943
Mean1.977099237
Median Absolute Deviation (MAD)1
Skewness1.364467327
Sum259
Variance1.407163829
MonotonicityNot monotonic
2025-02-26T17:46:19.937462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 57
39.9%
2 45
31.5%
3 15
 
10.5%
5 11
 
7.7%
4 3
 
2.1%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 57
39.9%
2 45
31.5%
3 15
 
10.5%
4 3
 
2.1%
5 11
 
7.7%
ValueCountFrequency (%)
5 11
 
7.7%
4 3
 
2.1%
3 15
 
10.5%
2 45
31.5%
1 57
39.9%

w2_D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? 1. Yes 2. No

Distinct2
Distinct (%)1.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.307142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:19.978288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4629655514
Coefficient of variation (CV)0.3541812961
Kurtosis-1.304458152
Mean1.307142857
Median Absolute Deviation (MAD)0
Skewness0.8452126658
Sum183
Variance0.2143371017
MonotonicityNot monotonic
2025-02-26T17:46:20.015768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 97
67.8%
2 43
30.1%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
1 97
67.8%
2 43
30.1%
ValueCountFrequency (%)
2 43
30.1%
1 97
67.8%

w2_D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]

Distinct2
Distinct (%)1.4%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.357142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.052170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4808779227
Coefficient of variation (CV)0.354331101
Kurtosis-1.660608625
Mean1.357142857
Median Absolute Deviation (MAD)0
Skewness0.6027622787
Sum190
Variance0.2312435766
MonotonicityNot monotonic
2025-02-26T17:46:20.089732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 90
62.9%
2 50
35.0%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
1 90
62.9%
2 50
35.0%
ValueCountFrequency (%)
2 50
35.0%
1 90
62.9%

w2_D03_1
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.

Distinct4
Distinct (%)3.8%
Missing39
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean2.798076923
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.123845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8404784547
Coefficient of variation (CV)0.3003771797
Kurtosis-0.5882108977
Mean2.798076923
Median Absolute Deviation (MAD)1
Skewness-0.2012147657
Sum291
Variance0.7064040329
MonotonicityNot monotonic
2025-02-26T17:46:20.160757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 45
31.5%
2 31
21.7%
4 22
15.4%
1 6
 
4.2%
(Missing) 39
27.3%
ValueCountFrequency (%)
1 6
 
4.2%
2 31
21.7%
3 45
31.5%
4 22
15.4%
ValueCountFrequency (%)
4 22
15.4%
3 45
31.5%
2 31
21.7%
1 6
 
4.2%

w2_D03_2
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.

Distinct4
Distinct (%)3.8%
Missing39
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.196369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9729347058
Coefficient of variation (CV)0.4324154248
Kurtosis-1.001651658
Mean2.25
Median Absolute Deviation (MAD)1
Skewness0.1854103423
Sum234
Variance0.9466019417
MonotonicityNot monotonic
2025-02-26T17:46:20.233521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 33
23.1%
3 32
22.4%
1 28
19.6%
4 11
 
7.7%
(Missing) 39
27.3%
ValueCountFrequency (%)
1 28
19.6%
2 33
23.1%
3 32
22.4%
4 11
 
7.7%
ValueCountFrequency (%)
4 11
 
7.7%
3 32
22.4%
2 33
23.1%
1 28
19.6%

w2_D03_3
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.

Distinct4
Distinct (%)3.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.242718447
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.270645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5325856171
Coefficient of variation (CV)0.4285649888
Kurtosis7.646284287
Mean1.242718447
Median Absolute Deviation (MAD)0
Skewness2.545415225
Sum128
Variance0.2836474396
MonotonicityNot monotonic
2025-02-26T17:46:20.309835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 82
57.3%
2 18
 
12.6%
3 2
 
1.4%
4 1
 
0.7%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 82
57.3%
2 18
 
12.6%
3 2
 
1.4%
4 1
 
0.7%
ValueCountFrequency (%)
4 1
 
0.7%
3 2
 
1.4%
2 18
 
12.6%
1 82
57.3%

w2_D03_4
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.

Distinct4
Distinct (%)3.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean2.165048544
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.350719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.020352567
Coefficient of variation (CV)0.4712839209
Kurtosis-1.212482059
Mean2.165048544
Median Absolute Deviation (MAD)1
Skewness0.2254586433
Sum223
Variance1.04111936
MonotonicityNot monotonic
2025-02-26T17:46:20.401946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 36
25.2%
3 33
23.1%
2 24
16.8%
4 10
 
7.0%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 36
25.2%
2 24
16.8%
3 33
23.1%
4 10
 
7.0%
ValueCountFrequency (%)
4 10
 
7.0%
3 33
23.1%
2 24
16.8%
1 36
25.2%

w2_D03_5
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.

Distinct4
Distinct (%)3.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.466019417
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.449258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7773198547
Coefficient of variation (CV)0.5302248015
Kurtosis1.994421909
Mean1.466019417
Median Absolute Deviation (MAD)0
Skewness1.647872764
Sum151
Variance0.6042261565
MonotonicityNot monotonic
2025-02-26T17:46:20.517059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 70
49.0%
2 21
 
14.7%
3 9
 
6.3%
4 3
 
2.1%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 70
49.0%
2 21
 
14.7%
3 9
 
6.3%
4 3
 
2.1%
ValueCountFrequency (%)
4 3
 
2.1%
3 9
 
6.3%
2 21
 
14.7%
1 70
49.0%

w2_D03_6
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.

Distinct3
Distinct (%)2.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.174757282
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.560659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.493629703
Coefficient of variation (CV)0.4201971852
Kurtosis7.292610932
Mean1.174757282
Median Absolute Deviation (MAD)0
Skewness2.861017899
Sum121
Variance0.2436702836
MonotonicityNot monotonic
2025-02-26T17:46:20.603549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 90
62.9%
2 8
 
5.6%
3 5
 
3.5%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 90
62.9%
2 8
 
5.6%
3 5
 
3.5%
ValueCountFrequency (%)
3 5
 
3.5%
2 8
 
5.6%
1 90
62.9%

w2_D03_7
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.

Distinct3
Distinct (%)2.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.339805825
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.744594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6500889541
Coefficient of variation (CV)0.4852113208
Kurtosis1.55890402
Mean1.339805825
Median Absolute Deviation (MAD)0
Skewness1.710928656
Sum138
Variance0.4226156482
MonotonicityNot monotonic
2025-02-26T17:46:20.796597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 78
54.5%
2 15
 
10.5%
3 10
 
7.0%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 78
54.5%
2 15
 
10.5%
3 10
 
7.0%
ValueCountFrequency (%)
3 10
 
7.0%
2 15
 
10.5%
1 78
54.5%

w2_D03_8
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.

Distinct4
Distinct (%)3.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.825242718
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.843780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7973877014
Coefficient of variation (CV)0.4368666662
Kurtosis0.3141644931
Mean1.825242718
Median Absolute Deviation (MAD)1
Skewness0.7996668519
Sum188
Variance0.6358271464
MonotonicityNot monotonic
2025-02-26T17:46:20.888065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 47
32.9%
1 39
27.3%
3 13
 
9.1%
4 4
 
2.8%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 39
27.3%
2 47
32.9%
3 13
 
9.1%
4 4
 
2.8%
ValueCountFrequency (%)
4 4
 
2.8%
3 13
 
9.1%
2 47
32.9%
1 39
27.3%

w2_D04
Real number (ℝ)

Missing 

How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week

Distinct4
Distinct (%)3.7%
Missing36
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean2.392523364
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:20.946112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8440357829
Coefficient of variation (CV)0.3527805811
Kurtosis-0.5944451392
Mean2.392523364
Median Absolute Deviation (MAD)1
Skewness0.009686069161
Sum256
Variance0.7123964028
MonotonicityNot monotonic
2025-02-26T17:46:20.990818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 42
29.4%
3 40
28.0%
1 16
 
11.2%
4 9
 
6.3%
(Missing) 36
25.2%
ValueCountFrequency (%)
1 16
 
11.2%
2 42
29.4%
3 40
28.0%
4 9
 
6.3%
ValueCountFrequency (%)
4 9
 
6.3%
3 40
28.0%
2 42
29.4%
1 16
 
11.2%

w2_D05_1
Real number (ℝ)

Missing 

How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)4.8%
Missing38
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean4.114285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.031633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9738334808
Coefficient of variation (CV)0.2366956377
Kurtosis1.118497987
Mean4.114285714
Median Absolute Deviation (MAD)1
Skewness-1.188433856
Sum432
Variance0.9483516484
MonotonicityNot monotonic
2025-02-26T17:46:21.074736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 43
30.1%
4 42
29.4%
3 11
 
7.7%
2 7
 
4.9%
1 2
 
1.4%
(Missing) 38
26.6%
ValueCountFrequency (%)
1 2
 
1.4%
2 7
 
4.9%
3 11
 
7.7%
4 42
29.4%
5 43
30.1%
ValueCountFrequency (%)
5 43
30.1%
4 42
29.4%
3 11
 
7.7%
2 7
 
4.9%
1 2
 
1.4%

w2_D05_2
Real number (ℝ)

Missing 

How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct4
Distinct (%)3.8%
Missing38
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean2.276190476
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.123150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023711555
Coefficient of variation (CV)0.4497477543
Kurtosis-1.0735286
Mean2.276190476
Median Absolute Deviation (MAD)1
Skewness0.2419511556
Sum239
Variance1.047985348
MonotonicityNot monotonic
2025-02-26T17:46:21.165576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 33
23.1%
1 29
20.3%
3 28
19.6%
4 15
 
10.5%
(Missing) 38
26.6%
ValueCountFrequency (%)
1 29
20.3%
2 33
23.1%
3 28
19.6%
4 15
10.5%
ValueCountFrequency (%)
4 15
10.5%
3 28
19.6%
2 33
23.1%
1 29
20.3%

w2_D05_3
Real number (ℝ)

Missing 

How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)4.9%
Missing40
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.621359223
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.207432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.02053912
Coefficient of variation (CV)0.6294343075
Kurtosis1.095984964
Mean1.621359223
Median Absolute Deviation (MAD)0
Skewness1.498110579
Sum167
Variance1.041500095
MonotonicityNot monotonic
2025-02-26T17:46:21.252024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 69
48.3%
2 14
 
9.8%
3 11
 
7.7%
4 8
 
5.6%
5 1
 
0.7%
(Missing) 40
28.0%
ValueCountFrequency (%)
1 69
48.3%
2 14
 
9.8%
3 11
 
7.7%
4 8
 
5.6%
5 1
 
0.7%
ValueCountFrequency (%)
5 1
 
0.7%
4 8
 
5.6%
3 11
 
7.7%
2 14
 
9.8%
1 69
48.3%

w2_D06_1
Boolean

Imbalance 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
132 
True
 
11
ValueCountFrequency (%)
False 132
92.3%
True 11
 
7.7%
2025-02-26T17:46:21.296169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Imbalance 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
130 
True
 
13
ValueCountFrequency (%)
False 130
90.9%
True 13
 
9.1%
2025-02-26T17:46:21.360746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
105 
True
38 
ValueCountFrequency (%)
False 105
73.4%
True 38
 
26.6%
2025-02-26T17:46:21.420441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
72 
True
71 
ValueCountFrequency (%)
False 72
50.3%
True 71
49.7%
2025-02-26T17:46:21.456359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size418.0 B
False
118 
True
25 
ValueCountFrequency (%)
False 118
82.5%
True 25
 
17.5%
2025-02-26T17:46:21.492098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Text

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.

Distinct3
Distinct (%)100.0%
Missing140
Missing (%)97.9%
Memory size1.4 KiB
2025-02-26T17:46:21.561767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length67
Median length42
Mean length46.33333333
Min length30

Characters and Unicode

Total characters139
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowStandard non-digital stopwatch
2nd rowMobile phone (YouTube videos for guidance)
3rd rowI use a wheelchair around half the time and have a tracker for that
ValueCountFrequency (%)
for 2
 
8.7%
a 2
 
8.7%
standard 1
 
4.3%
non-digital 1
 
4.3%
stopwatch 1
 
4.3%
mobile 1
 
4.3%
phone 1
 
4.3%
youtube 1
 
4.3%
videos 1
 
4.3%
guidance 1
 
4.3%
Other values (11) 11
47.8%
2025-02-26T17:46:21.687898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
14.4%
a 14
 
10.1%
e 12
 
8.6%
t 9
 
6.5%
o 9
 
6.5%
h 8
 
5.8%
n 7
 
5.0%
d 7
 
5.0%
r 7
 
5.0%
i 7
 
5.0%
Other values (20) 39
28.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 139
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
20
14.4%
a 14
 
10.1%
e 12
 
8.6%
t 9
 
6.5%
o 9
 
6.5%
h 8
 
5.8%
n 7
 
5.0%
d 7
 
5.0%
r 7
 
5.0%
i 7
 
5.0%
Other values (20) 39
28.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 139
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
20
14.4%
a 14
 
10.1%
e 12
 
8.6%
t 9
 
6.5%
o 9
 
6.5%
h 8
 
5.8%
n 7
 
5.0%
d 7
 
5.0%
r 7
 
5.0%
i 7
 
5.0%
Other values (20) 39
28.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 139
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
20
14.4%
a 14
 
10.1%
e 12
 
8.6%
t 9
 
6.5%
o 9
 
6.5%
h 8
 
5.8%
n 7
 
5.0%
d 7
 
5.0%
r 7
 
5.0%
i 7
 
5.0%
Other values (20) 39
28.1%

w2_D07_1
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.

Distinct5
Distinct (%)4.7%
Missing37
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.641509434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.733322image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.061792548
Coefficient of variation (CV)0.4019643216
Kurtosis-1.031475191
Mean2.641509434
Median Absolute Deviation (MAD)1
Skewness-0.1119432407
Sum280
Variance1.127403414
MonotonicityNot monotonic
2025-02-26T17:46:21.774927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 34
23.8%
2 27
18.9%
4 25
17.5%
1 19
13.3%
5 1
 
0.7%
(Missing) 37
25.9%
ValueCountFrequency (%)
1 19
13.3%
2 27
18.9%
3 34
23.8%
4 25
17.5%
5 1
 
0.7%
ValueCountFrequency (%)
5 1
 
0.7%
4 25
17.5%
3 34
23.8%
2 27
18.9%
1 19
13.3%

w2_D07_2
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.

Distinct3
Distinct (%)2.8%
Missing37
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.198113208
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.816272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4455026336
Coefficient of variation (CV)0.3718368438
Kurtosis4.143260689
Mean1.198113208
Median Absolute Deviation (MAD)0
Skewness2.17258779
Sum127
Variance0.1984725966
MonotonicityNot monotonic
2025-02-26T17:46:21.855956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 87
60.8%
2 17
 
11.9%
3 2
 
1.4%
(Missing) 37
25.9%
ValueCountFrequency (%)
1 87
60.8%
2 17
 
11.9%
3 2
 
1.4%
ValueCountFrequency (%)
3 2
 
1.4%
2 17
 
11.9%
1 87
60.8%

w2_D07_3
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.

Distinct4
Distinct (%)3.8%
Missing37
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.452830189
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.894644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7823295551
Coefficient of variation (CV)0.5384865769
Kurtosis1.984008959
Mean1.452830189
Median Absolute Deviation (MAD)0
Skewness1.679706123
Sum154
Variance0.6120395328
MonotonicityNot monotonic
2025-02-26T17:46:21.932286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 74
51.7%
2 19
 
13.3%
3 10
 
7.0%
4 3
 
2.1%
(Missing) 37
25.9%
ValueCountFrequency (%)
1 74
51.7%
2 19
 
13.3%
3 10
 
7.0%
4 3
 
2.1%
ValueCountFrequency (%)
4 3
 
2.1%
3 10
 
7.0%
2 19
 
13.3%
1 74
51.7%

w2_D07_4
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.

Distinct4
Distinct (%)3.8%
Missing37
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.009433962
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:21.969178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9102096359
Coefficient of variation (CV)0.4529681756
Kurtosis-0.944522225
Mean2.009433962
Median Absolute Deviation (MAD)1
Skewness0.3673509463
Sum213
Variance0.8284815813
MonotonicityNot monotonic
2025-02-26T17:46:22.007827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 38
26.6%
2 34
23.8%
3 29
20.3%
4 5
 
3.5%
(Missing) 37
25.9%
ValueCountFrequency (%)
1 38
26.6%
2 34
23.8%
3 29
20.3%
4 5
 
3.5%
ValueCountFrequency (%)
4 5
 
3.5%
3 29
20.3%
2 34
23.8%
1 38
26.6%

w2_D07_5
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.

Distinct5
Distinct (%)4.7%
Missing37
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.471698113
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.045872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.75
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.236027024
Coefficient of variation (CV)0.5000720019
Kurtosis-0.9616849533
Mean2.471698113
Median Absolute Deviation (MAD)1
Skewness0.328332294
Sum262
Variance1.527762803
MonotonicityNot monotonic
2025-02-26T17:46:22.087443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 31
21.7%
3 27
18.9%
2 24
16.8%
4 18
12.6%
5 6
 
4.2%
(Missing) 37
25.9%
ValueCountFrequency (%)
1 31
21.7%
2 24
16.8%
3 27
18.9%
4 18
12.6%
5 6
 
4.2%
ValueCountFrequency (%)
5 6
 
4.2%
4 18
12.6%
3 27
18.9%
2 24
16.8%
1 31
21.7%

w2_E01_1
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.652173913
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.128129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4780155743
Coefficient of variation (CV)0.289325216
Kurtosis-1.606106118
Mean1.652173913
Median Absolute Deviation (MAD)0
Skewness-0.6460532795
Sum228
Variance0.2284988892
MonotonicityNot monotonic
2025-02-26T17:46:22.165540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 90
62.9%
1 48
33.6%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
1 48
33.6%
2 90
62.9%
ValueCountFrequency (%)
2 90
62.9%
1 48
33.6%

w2_E01_2
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.601449275
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.201559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4913834941
Coefficient of variation (CV)0.306836752
Kurtosis-1.851499259
Mean1.601449275
Median Absolute Deviation (MAD)0
Skewness-0.4189850807
Sum221
Variance0.2414577383
MonotonicityNot monotonic
2025-02-26T17:46:22.238246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 83
58.0%
1 55
38.5%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
1 55
38.5%
2 83
58.0%
ValueCountFrequency (%)
2 83
58.0%
1 55
38.5%

w2_E01_3
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.5%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.788321168
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.274916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4099974343
Coefficient of variation (CV)0.2292638714
Kurtosis0.037489013
Mean1.788321168
Median Absolute Deviation (MAD)0
Skewness-1.427289871
Sum245
Variance0.1680978961
MonotonicityNot monotonic
2025-02-26T17:46:22.312220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 108
75.5%
1 29
 
20.3%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 29
 
20.3%
2 108
75.5%
ValueCountFrequency (%)
2 108
75.5%
1 29
 
20.3%

w2_E01_4
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.81884058
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.348617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3865533126
Coefficient of variation (CV)0.2125273193
Kurtosis0.8135845914
Mean1.81884058
Median Absolute Deviation (MAD)0
Skewness-1.673918713
Sum251
Variance0.1494234635
MonotonicityNot monotonic
2025-02-26T17:46:22.387134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 113
79.0%
1 25
 
17.5%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
1 25
 
17.5%
2 113
79.0%
ValueCountFrequency (%)
2 113
79.0%
1 25
 
17.5%

w2_E01_5
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.5%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.912408759
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.423457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2837369472
Coefficient of variation (CV)0.1483662663
Kurtosis6.801864456
Mean1.912408759
Median Absolute Deviation (MAD)0
Skewness-2.950045968
Sum262
Variance0.08050665522
MonotonicityNot monotonic
2025-02-26T17:46:22.461962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 125
87.4%
1 12
 
8.4%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 12
 
8.4%
2 125
87.4%
ValueCountFrequency (%)
2 125
87.4%
1 12
 
8.4%

w2_E01_6
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.5%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.569343066
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.501313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49698533
Coefficient of variation (CV)0.3166836754
Kurtosis-1.948466562
Mean1.569343066
Median Absolute Deviation (MAD)0
Skewness-0.2831889238
Sum215
Variance0.2469944182
MonotonicityNot monotonic
2025-02-26T17:46:22.538381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 78
54.5%
1 59
41.3%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
1 59
41.3%
2 78
54.5%
ValueCountFrequency (%)
2 78
54.5%
1 59
41.3%

w2_E02_1
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)2.9%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean3.316546763
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.573551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8343701193
Coefficient of variation (CV)0.2515779752
Kurtosis1.196999283
Mean3.316546763
Median Absolute Deviation (MAD)1
Skewness-1.261200891
Sum461
Variance0.696173496
MonotonicityNot monotonic
2025-02-26T17:46:22.611262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 69
48.3%
3 53
37.1%
2 9
 
6.3%
1 8
 
5.6%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 8
 
5.6%
2 9
 
6.3%
3 53
37.1%
4 69
48.3%
ValueCountFrequency (%)
4 69
48.3%
3 53
37.1%
2 9
 
6.3%
1 8
 
5.6%

w2_E02_2
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)2.9%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean3.043165468
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.648868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8835903667
Coefficient of variation (CV)0.29035239
Kurtosis-0.266487114
Mean3.043165468
Median Absolute Deviation (MAD)1
Skewness-0.6603838368
Sum423
Variance0.7807319362
MonotonicityNot monotonic
2025-02-26T17:46:22.687036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 58
40.6%
4 48
33.6%
2 24
16.8%
1 9
 
6.3%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 9
 
6.3%
2 24
16.8%
3 58
40.6%
4 48
33.6%
ValueCountFrequency (%)
4 48
33.6%
3 58
40.6%
2 24
16.8%
1 9
 
6.3%

w2_E02_3
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)2.9%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean3.079136691
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.723240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9330078226
Coefficient of variation (CV)0.3030095499
Kurtosis-0.3203303805
Mean3.079136691
Median Absolute Deviation (MAD)1
Skewness-0.7566718823
Sum428
Variance0.8705035971
MonotonicityNot monotonic
2025-02-26T17:46:22.760470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 55
38.5%
3 51
35.7%
2 22
 
15.4%
1 11
 
7.7%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 11
 
7.7%
2 22
 
15.4%
3 51
35.7%
4 55
38.5%
ValueCountFrequency (%)
4 55
38.5%
3 51
35.7%
2 22
 
15.4%
1 11
 
7.7%

w2_E02_4
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)2.9%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean3.194244604
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.797798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7882993789
Coefficient of variation (CV)0.2467874182
Kurtosis0.3309656299
Mean3.194244604
Median Absolute Deviation (MAD)1
Skewness-0.8103365287
Sum444
Variance0.6214159107
MonotonicityNot monotonic
2025-02-26T17:46:22.839206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 63
44.1%
4 54
37.8%
2 17
 
11.9%
1 5
 
3.5%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
1 5
 
3.5%
2 17
 
11.9%
3 63
44.1%
4 54
37.8%
ValueCountFrequency (%)
4 54
37.8%
3 63
44.1%
2 17
 
11.9%
1 5
 
3.5%

w2_E02_5
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)2.9%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.913043478
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.879788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9160233069
Coefficient of variation (CV)0.3144557621
Kurtosis-0.295704476
Mean2.913043478
Median Absolute Deviation (MAD)1
Skewness-0.6352156997
Sum402
Variance0.8390986988
MonotonicityNot monotonic
2025-02-26T17:46:22.917207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 64
44.8%
4 38
26.6%
2 22
 
15.4%
1 14
 
9.8%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
1 14
 
9.8%
2 22
 
15.4%
3 64
44.8%
4 38
26.6%
ValueCountFrequency (%)
4 38
26.6%
3 64
44.8%
2 22
 
15.4%
1 14
 
9.8%

w2_F02_1
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.856060606
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:22.954983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.85723304
Coefficient of variation (CV)0.4618561685
Kurtosis-1.587147537
Mean1.856060606
Median Absolute Deviation (MAD)1
Skewness0.2825435767
Sum245
Variance0.7348484848
MonotonicityNot monotonic
2025-02-26T17:46:22.996476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 59
41.3%
3 40
28.0%
2 33
23.1%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 59
41.3%
2 33
23.1%
3 40
28.0%
ValueCountFrequency (%)
3 40
28.0%
2 33
23.1%
1 59
41.3%

w2_F02_2
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.053030303
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.036253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8131964443
Coefficient of variation (CV)0.3960956851
Kurtosis-1.48045301
Mean2.053030303
Median Absolute Deviation (MAD)1
Skewness-0.09803474101
Sum271
Variance0.6612884571
MonotonicityNot monotonic
2025-02-26T17:46:23.076450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 47
32.9%
2 45
31.5%
1 40
28.0%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 40
28.0%
2 45
31.5%
3 47
32.9%
ValueCountFrequency (%)
3 47
32.9%
2 45
31.5%
1 40
28.0%

w2_F02_3
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.310606061
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.115331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7427263143
Coefficient of variation (CV)0.3214422082
Kurtosis-0.9801843468
Mean2.310606061
Median Absolute Deviation (MAD)1
Skewness-0.5730893653
Sum305
Variance0.551642378
MonotonicityNot monotonic
2025-02-26T17:46:23.156672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 63
44.1%
2 47
32.9%
1 22
 
15.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 22
 
15.4%
2 47
32.9%
3 63
44.1%
ValueCountFrequency (%)
3 63
44.1%
2 47
32.9%
1 22
 
15.4%

w2_F02_4
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.007575758
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.260611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8425353606
Coefficient of variation (CV)0.419677991
Kurtosis-1.595056273
Mean2.007575758
Median Absolute Deviation (MAD)1
Skewness-0.01443090309
Sum265
Variance0.7098658339
MonotonicityNot monotonic
2025-02-26T17:46:23.301315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 47
32.9%
1 46
32.2%
2 39
27.3%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 46
32.2%
2 39
27.3%
3 47
32.9%
ValueCountFrequency (%)
3 47
32.9%
2 39
27.3%
1 46
32.2%

w2_F02_5
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.060606061
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.342911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7790929915
Coefficient of variation (CV)0.3780892459
Kurtosis-1.338668522
Mean2.060606061
Median Absolute Deviation (MAD)1
Skewness-0.1063198123
Sum272
Variance0.6069858894
MonotonicityNot monotonic
2025-02-26T17:46:23.382693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 52
36.4%
3 44
30.8%
1 36
25.2%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 36
25.2%
2 52
36.4%
3 44
30.8%
ValueCountFrequency (%)
3 44
30.8%
2 52
36.4%
1 36
25.2%

w2_F02_6
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.037878788
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.425422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8325927776
Coefficient of variation (CV)0.4085585377
Kurtosis-1.556205946
Mean2.037878788
Median Absolute Deviation (MAD)1
Skewness-0.07153330251
Sum269
Variance0.6932107333
MonotonicityNot monotonic
2025-02-26T17:46:23.466384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 48
33.6%
1 43
30.1%
2 41
28.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 43
30.1%
2 41
28.7%
3 48
33.6%
ValueCountFrequency (%)
3 48
33.6%
2 41
28.7%
1 43
30.1%

w2_F02_7
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.787878788
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.505816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7619811766
Coefficient of variation (CV)0.4261928615
Kurtosis-1.183521074
Mean1.787878788
Median Absolute Deviation (MAD)1
Skewness0.3795129637
Sum236
Variance0.5806153134
MonotonicityNot monotonic
2025-02-26T17:46:23.546669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 55
38.5%
2 50
35.0%
3 27
18.9%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 55
38.5%
2 50
35.0%
3 27
18.9%
ValueCountFrequency (%)
3 27
18.9%
2 50
35.0%
1 55
38.5%

w2_F02_8
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.810606061
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.585869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8020258296
Coefficient of variation (CV)0.4429598724
Kurtosis-1.356701887
Mean1.810606061
Median Absolute Deviation (MAD)1
Skewness0.3571978798
Sum239
Variance0.6432454314
MonotonicityNot monotonic
2025-02-26T17:46:23.626751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 57
39.9%
2 43
30.1%
3 32
22.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 57
39.9%
2 43
30.1%
3 32
22.4%
ValueCountFrequency (%)
3 32
22.4%
2 43
30.1%
1 57
39.9%

w2_F02_9
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured

Distinct3
Distinct (%)2.3%
Missing13
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean1.753846154
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.666773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8450635356
Coefficient of variation (CV)0.4818344721
Kurtosis-1.424255957
Mean1.753846154
Median Absolute Deviation (MAD)0
Skewness0.495332193
Sum228
Variance0.7141323792
MonotonicityNot monotonic
2025-02-26T17:46:23.708005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 66
46.2%
3 34
23.8%
2 30
21.0%
(Missing) 13
 
9.1%
ValueCountFrequency (%)
1 66
46.2%
2 30
21.0%
3 34
23.8%
ValueCountFrequency (%)
3 34
23.8%
2 30
21.0%
1 66
46.2%

w2_F02_10
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.181818182
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.747650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7990278618
Coefficient of variation (CV)0.3662211033
Kurtosis-1.353164157
Mean2.181818182
Median Absolute Deviation (MAD)1
Skewness-0.3405476034
Sum288
Variance0.6384455239
MonotonicityNot monotonic
2025-02-26T17:46:23.787745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 56
39.2%
2 44
30.8%
1 32
22.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 32
22.4%
2 44
30.8%
3 56
39.2%
ValueCountFrequency (%)
3 56
39.2%
2 44
30.8%
1 32
22.4%

w2_F02_11
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical

Distinct3
Distinct (%)2.3%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.877862595
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.829876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.841453877
Coefficient of variation (CV)0.4480912922
Kurtosis-1.5518528
Mean1.877862595
Median Absolute Deviation (MAD)1
Skewness0.2355504042
Sum246
Variance0.7080446271
MonotonicityNot monotonic
2025-02-26T17:46:23.870360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 55
38.5%
3 39
27.3%
2 37
25.9%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 55
38.5%
2 37
25.9%
3 39
27.3%
ValueCountFrequency (%)
3 39
27.3%
2 37
25.9%
1 55
38.5%

w2_F02_12
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.901515152
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.910360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8811845643
Coefficient of variation (CV)0.4634118028
Kurtosis-1.693686925
Mean1.901515152
Median Absolute Deviation (MAD)1
Skewness0.1946133508
Sum251
Variance0.7764862364
MonotonicityNot monotonic
2025-02-26T17:46:23.953351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 58
40.6%
3 45
31.5%
2 29
20.3%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 58
40.6%
2 29
20.3%
3 45
31.5%
ValueCountFrequency (%)
3 45
31.5%
2 29
20.3%
1 58
40.6%

w2_F02_13
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.962121212
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:23.993950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9029662994
Coefficient of variation (CV)0.4601990406
Kurtosis-1.781759352
Mean1.962121212
Median Absolute Deviation (MAD)1
Skewness0.07521964203
Sum259
Variance0.8153481379
MonotonicityNot monotonic
2025-02-26T17:46:24.035301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 56
39.2%
3 51
35.7%
2 25
17.5%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 56
39.2%
2 25
17.5%
3 51
35.7%
ValueCountFrequency (%)
3 51
35.7%
2 25
17.5%
1 56
39.2%

w2_F02_14
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.659090909
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.074986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7186665499
Coefficient of variation (CV)0.4331688794
Kurtosis-0.8481266214
Mean1.659090909
Median Absolute Deviation (MAD)1
Skewness0.6144942961
Sum219
Variance0.51648161
MonotonicityNot monotonic
2025-02-26T17:46:24.171688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 64
44.8%
2 49
34.3%
3 19
 
13.3%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 64
44.8%
2 49
34.3%
3 19
 
13.3%
ValueCountFrequency (%)
3 19
 
13.3%
2 49
34.3%
1 64
44.8%

w2_F02_15
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.696969697
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.233229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7610698972
Coefficient of variation (CV)0.448487618
Kurtosis-1.053412455
Mean1.696969697
Median Absolute Deviation (MAD)1
Skewness0.5741422703
Sum224
Variance0.5792273884
MonotonicityNot monotonic
2025-02-26T17:46:24.283293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 64
44.8%
2 44
30.8%
3 24
 
16.8%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 64
44.8%
2 44
30.8%
3 24
 
16.8%
ValueCountFrequency (%)
3 24
 
16.8%
2 44
30.8%
1 64
44.8%

w2_F02_16
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.007575758
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.363013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7361568465
Coefficient of variation (CV)0.3666894481
Kurtosis-1.138145614
Mean2.007575758
Median Absolute Deviation (MAD)1
Skewness-0.01192004952
Sum265
Variance0.5419269026
MonotonicityNot monotonic
2025-02-26T17:46:24.470166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 61
42.7%
3 36
25.2%
1 35
24.5%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 35
24.5%
2 61
42.7%
3 36
25.2%
ValueCountFrequency (%)
3 36
25.2%
2 61
42.7%
1 35
24.5%

w2_F02_17
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.71969697
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.516722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7747385074
Coefficient of variation (CV)0.4505087356
Kurtosis-1.139517513
Mean1.71969697
Median Absolute Deviation (MAD)1
Skewness0.53383452
Sum227
Variance0.6002197548
MonotonicityNot monotonic
2025-02-26T17:46:24.560087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 63
44.1%
2 43
30.1%
3 26
18.2%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 63
44.1%
2 43
30.1%
3 26
18.2%
ValueCountFrequency (%)
3 26
18.2%
2 43
30.1%
1 63
44.1%

w2_F02_18
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate

Distinct3
Distinct (%)2.3%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.557251908
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.603796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7142538371
Coefficient of variation (CV)0.4586630032
Kurtosis-0.5204255216
Mean1.557251908
Median Absolute Deviation (MAD)0
Skewness0.8888004261
Sum204
Variance0.5101585437
MonotonicityNot monotonic
2025-02-26T17:46:24.651608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 75
52.4%
2 39
27.3%
3 17
 
11.9%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 75
52.4%
2 39
27.3%
3 17
 
11.9%
ValueCountFrequency (%)
3 17
 
11.9%
2 39
27.3%
1 75
52.4%

w2_F02_19
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups

Distinct3
Distinct (%)2.3%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.603053435
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.695065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6981226398
Coefficient of variation (CV)0.4354955515
Kurtosis-0.6595153181
Mean1.603053435
Median Absolute Deviation (MAD)0
Skewness0.7264890901
Sum210
Variance0.4873752202
MonotonicityNot monotonic
2025-02-26T17:46:24.738700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 68
47.6%
2 47
32.9%
3 16
 
11.2%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 68
47.6%
2 47
32.9%
3 16
 
11.2%
ValueCountFrequency (%)
3 16
 
11.2%
2 47
32.9%
1 68
47.6%

w2_F02_20
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel

Distinct3
Distinct (%)2.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.325757576
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.779562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6934393992
Coefficient of variation (CV)0.298156354
Kurtosis-0.8049229647
Mean2.325757576
Median Absolute Deviation (MAD)1
Skewness-0.5375191326
Sum307
Variance0.4808582003
MonotonicityNot monotonic
2025-02-26T17:46:24.821482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 60
42.0%
2 55
38.5%
1 17
 
11.9%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 17
 
11.9%
2 55
38.5%
3 60
42.0%
ValueCountFrequency (%)
3 60
42.0%
2 55
38.5%
1 17
 
11.9%

w2_F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.666666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.860862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.299833616
Coefficient of variation (CV)0.4874376061
Kurtosis0.921423747
Mean2.666666667
Median Absolute Deviation (MAD)1
Skewness0.6854801903
Sum352
Variance1.68956743
MonotonicityNot monotonic
2025-02-26T17:46:24.899863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 40
28.0%
2 32
22.4%
1 29
20.3%
4 19
13.3%
5 11
 
7.7%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 29
20.3%
2 32
22.4%
3 40
28.0%
4 19
13.3%
5 11
 
7.7%
ValueCountFrequency (%)
8 1
 
0.7%
5 11
 
7.7%
4 19
13.3%
3 40
28.0%
2 32
22.4%

w2_F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean4.060606061
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:24.937650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.444957411
Coefficient of variation (CV)0.3558477207
Kurtosis-0.5763396668
Mean4.060606061
Median Absolute Deviation (MAD)1
Skewness-0.3847585416
Sum536
Variance2.08790192
MonotonicityNot monotonic
2025-02-26T17:46:24.974711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 33
23.1%
4 32
22.4%
3 24
16.8%
6 22
15.4%
2 12
 
8.4%
1 8
 
5.6%
7 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 8
 
5.6%
2 12
 
8.4%
3 24
16.8%
4 32
22.4%
5 33
23.1%
ValueCountFrequency (%)
7 1
 
0.7%
6 22
15.4%
5 33
23.1%
4 32
22.4%
3 24
16.8%

w2_F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.954545455
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.014498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.271313778
Coefficient of variation (CV)0.6504396075
Kurtosis2.102045699
Mean1.954545455
Median Absolute Deviation (MAD)1
Skewness1.602771838
Sum258
Variance1.616238723
MonotonicityNot monotonic
2025-02-26T17:46:25.053392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 63
44.1%
2 41
28.7%
3 12
 
8.4%
4 7
 
4.9%
5 5
 
3.5%
6 4
 
2.8%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 63
44.1%
2 41
28.7%
3 12
 
8.4%
4 7
 
4.9%
5 5
 
3.5%
ValueCountFrequency (%)
6 4
 
2.8%
5 5
 
3.5%
4 7
 
4.9%
3 12
 
8.4%
2 41
28.7%

w2_F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.803030303
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.090551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.30436375
Coefficient of variation (CV)0.4653405812
Kurtosis-0.6495437283
Mean2.803030303
Median Absolute Deviation (MAD)1
Skewness0.3936632725
Sum370
Variance1.701364793
MonotonicityNot monotonic
2025-02-26T17:46:25.130476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 41
28.7%
4 28
19.6%
3 27
18.9%
1 22
15.4%
5 11
 
7.7%
6 3
 
2.1%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 22
15.4%
2 41
28.7%
3 27
18.9%
4 28
19.6%
5 11
 
7.7%
ValueCountFrequency (%)
6 3
 
2.1%
5 11
 
7.7%
4 28
19.6%
3 27
18.9%
2 41
28.7%

w2_F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.696969697
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.164556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.289649896
Coefficient of variation (CV)0.4781847929
Kurtosis-0.2488279036
Mean2.696969697
Median Absolute Deviation (MAD)1
Skewness0.4760768015
Sum356
Variance1.663196854
MonotonicityNot monotonic
2025-02-26T17:46:25.205812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 36
25.2%
3 34
23.8%
1 27
18.9%
4 22
15.4%
5 12
 
8.4%
7 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 27
18.9%
2 36
25.2%
3 34
23.8%
4 22
15.4%
5 12
 
8.4%
ValueCountFrequency (%)
7 1
 
0.7%
5 12
 
8.4%
4 22
15.4%
3 34
23.8%
2 36
25.2%

w2_F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.696969697
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.244123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.318913466
Coefficient of variation (CV)0.4890353302
Kurtosis1.010637798
Mean2.696969697
Median Absolute Deviation (MAD)1
Skewness0.7798538451
Sum356
Variance1.739532732
MonotonicityNot monotonic
2025-02-26T17:46:25.284039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 38
26.6%
3 34
23.8%
1 26
18.2%
4 23
16.1%
5 8
 
5.6%
6 2
 
1.4%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 26
18.2%
2 38
26.6%
3 34
23.8%
4 23
16.1%
5 8
 
5.6%
ValueCountFrequency (%)
8 1
 
0.7%
6 2
 
1.4%
5 8
 
5.6%
4 23
16.1%
3 34
23.8%

w2_F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct8
Distinct (%)6.2%
Missing13
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean4.2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.323769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.394340721
Coefficient of variation (CV)0.331985886
Kurtosis-0.23327591
Mean4.2
Median Absolute Deviation (MAD)1
Skewness-0.03345718661
Sum546
Variance1.944186047
MonotonicityNot monotonic
2025-02-26T17:46:25.363913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 38
26.6%
5 31
21.7%
3 22
15.4%
6 18
12.6%
2 13
 
9.1%
7 4
 
2.8%
1 3
 
2.1%
8 1
 
0.7%
(Missing) 13
 
9.1%
ValueCountFrequency (%)
1 3
 
2.1%
2 13
 
9.1%
3 22
15.4%
4 38
26.6%
5 31
21.7%
ValueCountFrequency (%)
8 1
 
0.7%
7 4
 
2.8%
6 18
12.6%
5 31
21.7%
4 38
26.6%

w2_F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.053030303
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.403146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.237544934
Coefficient of variation (CV)0.6027894146
Kurtosis3.031115274
Mean2.053030303
Median Absolute Deviation (MAD)1
Skewness1.443867865
Sum271
Variance1.531517465
MonotonicityNot monotonic
2025-02-26T17:46:25.440822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 57
39.9%
2 38
26.6%
3 17
 
11.9%
4 16
 
11.2%
5 3
 
2.1%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 57
39.9%
2 38
26.6%
3 17
 
11.9%
4 16
 
11.2%
5 3
 
2.1%
ValueCountFrequency (%)
8 1
 
0.7%
5 3
 
2.1%
4 16
11.2%
3 17
11.9%
2 38
26.6%

w2_F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean4.393939394
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.484807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.61933723
Coefficient of variation (CV)0.3685388179
Kurtosis-0.4275798678
Mean4.393939394
Median Absolute Deviation (MAD)1
Skewness-0.01467994545
Sum580
Variance2.622253065
MonotonicityNot monotonic
2025-02-26T17:46:25.525627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 39
27.3%
3 25
17.5%
6 23
16.1%
4 18
12.6%
2 14
 
9.8%
8 5
 
3.5%
7 4
 
2.8%
1 4
 
2.8%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 4
 
2.8%
2 14
 
9.8%
3 25
17.5%
4 18
12.6%
5 39
27.3%
ValueCountFrequency (%)
8 5
 
3.5%
7 4
 
2.8%
6 23
16.1%
5 39
27.3%
4 18
12.6%

w2_F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.151515152
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.563711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.485219024
Coefficient of variation (CV)0.4712714211
Kurtosis0.394284496
Mean3.151515152
Median Absolute Deviation (MAD)1
Skewness0.5729883276
Sum416
Variance2.205875549
MonotonicityNot monotonic
2025-02-26T17:46:25.604885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 33
23.1%
2 31
21.7%
3 29
20.3%
1 18
12.6%
5 13
 
9.1%
6 6
 
4.2%
8 2
 
1.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 18
12.6%
2 31
21.7%
3 29
20.3%
4 33
23.1%
5 13
 
9.1%
ValueCountFrequency (%)
8 2
 
1.4%
6 6
 
4.2%
5 13
 
9.1%
4 33
23.1%
3 29
20.3%

w2_F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.098484848
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.644638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.21604947
Coefficient of variation (CV)0.579489278
Kurtosis3.11100394
Mean2.098484848
Median Absolute Deviation (MAD)1
Skewness1.360490731
Sum277
Variance1.478776313
MonotonicityNot monotonic
2025-02-26T17:46:25.748252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 54
37.8%
2 35
24.5%
3 26
18.2%
4 13
 
9.1%
5 3
 
2.1%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 54
37.8%
2 35
24.5%
3 26
18.2%
4 13
 
9.1%
5 3
 
2.1%
ValueCountFrequency (%)
8 1
 
0.7%
5 3
 
2.1%
4 13
 
9.1%
3 26
18.2%
2 35
24.5%

w2_F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.174242424
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.786555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.175423991
Coefficient of variation (CV)0.5406131249
Kurtosis0.8901624236
Mean2.174242424
Median Absolute Deviation (MAD)1
Skewness0.9721867012
Sum287
Variance1.381621559
MonotonicityNot monotonic
2025-02-26T17:46:25.824764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 48
33.6%
2 36
25.2%
3 32
22.4%
4 12
 
8.4%
6 3
 
2.1%
5 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 48
33.6%
2 36
25.2%
3 32
22.4%
4 12
 
8.4%
5 1
 
0.7%
ValueCountFrequency (%)
6 3
 
2.1%
5 1
 
0.7%
4 12
 
8.4%
3 32
22.4%
2 36
25.2%

w2_F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.583333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.860778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.435863794
Coefficient of variation (CV)0.5558182428
Kurtosis0.916888107
Mean2.583333333
Median Absolute Deviation (MAD)1
Skewness1.000590949
Sum341
Variance2.061704835
MonotonicityNot monotonic
2025-02-26T17:46:25.900346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 38
26.6%
1 34
23.8%
3 32
22.4%
4 13
 
9.1%
5 9
 
6.3%
6 5
 
3.5%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 34
23.8%
2 38
26.6%
3 32
22.4%
4 13
 
9.1%
5 9
 
6.3%
ValueCountFrequency (%)
8 1
 
0.7%
6 5
 
3.5%
5 9
 
6.3%
4 13
9.1%
3 32
22.4%

w2_F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.189393939
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:25.939217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.672099634
Coefficient of variation (CV)0.524268769
Kurtosis0.2659952156
Mean3.189393939
Median Absolute Deviation (MAD)1
Skewness0.7195493818
Sum421
Variance2.795917187
MonotonicityNot monotonic
2025-02-26T17:46:25.978880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 36
25.2%
4 25
17.5%
3 22
15.4%
1 20
14.0%
5 19
13.3%
6 6
 
4.2%
8 4
 
2.8%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 20
14.0%
2 36
25.2%
3 22
15.4%
4 25
17.5%
5 19
13.3%
ValueCountFrequency (%)
8 4
 
2.8%
6 6
 
4.2%
5 19
13.3%
4 25
17.5%
3 22
15.4%

w2_F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures

Distinct7
Distinct (%)5.3%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean3.58778626
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.016847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.5
median4
Q35
95-th percentile5.5
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.300119693
Coefficient of variation (CV)0.3623737867
Kurtosis-0.6671705174
Mean3.58778626
Median Absolute Deviation (MAD)1
Skewness-0.003853884091
Sum470
Variance1.690311216
MonotonicityNot monotonic
2025-02-26T17:46:26.052578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 39
27.3%
2 28
19.6%
5 27
18.9%
3 25
17.5%
6 6
 
4.2%
1 5
 
3.5%
7 1
 
0.7%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 5
 
3.5%
2 28
19.6%
3 25
17.5%
4 39
27.3%
5 27
18.9%
ValueCountFrequency (%)
7 1
 
0.7%
6 6
 
4.2%
5 27
18.9%
4 39
27.3%
3 25
17.5%

w2_F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.348484848
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.088910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.562855326
Coefficient of variation (CV)0.4667350748
Kurtosis-0.06706652662
Mean3.348484848
Median Absolute Deviation (MAD)1
Skewness0.377469727
Sum442
Variance2.442516771
MonotonicityNot monotonic
2025-02-26T17:46:26.129367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 31
21.7%
3 29
20.3%
2 24
16.8%
5 20
14.0%
1 18
12.6%
6 7
 
4.9%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 18
12.6%
2 24
16.8%
3 29
20.3%
4 31
21.7%
5 20
14.0%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 7
 
4.9%
5 20
14.0%
4 31
21.7%

w2_F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean4.068181818
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.167609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6.45
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.53430583
Coefficient of variation (CV)0.3771478017
Kurtosis-0.0670277559
Mean4.068181818
Median Absolute Deviation (MAD)1
Skewness0.1413745865
Sum537
Variance2.354094379
MonotonicityNot monotonic
2025-02-26T17:46:26.208419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 38
26.6%
5 29
20.3%
3 22
15.4%
2 16
11.2%
6 14
 
9.8%
1 6
 
4.2%
7 4
 
2.8%
8 3
 
2.1%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 6
 
4.2%
2 16
11.2%
3 22
15.4%
4 38
26.6%
5 29
20.3%
ValueCountFrequency (%)
8 3
 
2.1%
7 4
 
2.8%
6 14
 
9.8%
5 29
20.3%
4 38
26.6%

w2_F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.083333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.247087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.25
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.223445683
Coefficient of variation (CV)0.5872539277
Kurtosis4.190417172
Mean2.083333333
Median Absolute Deviation (MAD)1
Skewness1.692620614
Sum275
Variance1.496819338
MonotonicityNot monotonic
2025-02-26T17:46:26.286343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 50
35.0%
1 49
34.3%
3 15
 
10.5%
4 14
 
9.8%
6 2
 
1.4%
8 1
 
0.7%
5 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 49
34.3%
2 50
35.0%
3 15
 
10.5%
4 14
 
9.8%
5 1
 
0.7%
ValueCountFrequency (%)
8 1
 
0.7%
6 2
 
1.4%
5 1
 
0.7%
4 14
9.8%
3 15
10.5%

w2_F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.242424242
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.325098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.45
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.159897417
Coefficient of variation (CV)0.5172515507
Kurtosis0.2523615612
Mean2.242424242
Median Absolute Deviation (MAD)1
Skewness0.8242513221
Sum296
Variance1.345362017
MonotonicityNot monotonic
2025-02-26T17:46:26.362707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 42
29.4%
2 41
28.7%
3 32
22.4%
4 10
 
7.0%
5 6
 
4.2%
6 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 42
29.4%
2 41
28.7%
3 32
22.4%
4 10
 
7.0%
5 6
 
4.2%
ValueCountFrequency (%)
6 1
 
0.7%
5 6
 
4.2%
4 10
 
7.0%
3 32
22.4%
2 41
28.7%

w2_F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean4.757575758
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.398821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.795334123
Coefficient of variation (CV)0.3773632233
Kurtosis-0.8358008005
Mean4.757575758
Median Absolute Deviation (MAD)1
Skewness-0.5693077227
Sum628
Variance3.223224613
MonotonicityNot monotonic
2025-02-26T17:46:26.437838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 48
33.6%
3 19
 
13.3%
5 16
 
11.2%
7 16
 
11.2%
4 13
 
9.1%
2 12
 
8.4%
1 7
 
4.9%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 7
 
4.9%
2 12
8.4%
3 19
13.3%
4 13
9.1%
5 16
11.2%
ValueCountFrequency (%)
8 1
 
0.7%
7 16
 
11.2%
6 48
33.6%
5 16
 
11.2%
4 13
 
9.1%

w2_F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.424242424
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.477338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.185930318
Coefficient of variation (CV)0.4891962562
Kurtosis-0.413682476
Mean2.424242424
Median Absolute Deviation (MAD)1
Skewness0.5457117534
Sum320
Variance1.406430719
MonotonicityNot monotonic
2025-02-26T17:46:26.515069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 42
29.4%
1 34
23.8%
3 29
20.3%
4 21
14.7%
5 5
 
3.5%
6 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 34
23.8%
2 42
29.4%
3 29
20.3%
4 21
14.7%
5 5
 
3.5%
ValueCountFrequency (%)
6 1
 
0.7%
5 5
 
3.5%
4 21
14.7%
3 29
20.3%
2 42
29.4%

w2_F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.856060606
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.551103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071009909
Coefficient of variation (CV)0.5770339102
Kurtosis1.086621932
Mean1.856060606
Median Absolute Deviation (MAD)0
Skewness1.162677014
Sum245
Variance1.147062225
MonotonicityNot monotonic
2025-02-26T17:46:26.591462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 69
48.3%
3 30
21.0%
2 25
 
17.5%
4 5
 
3.5%
5 2
 
1.4%
6 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 69
48.3%
2 25
 
17.5%
3 30
21.0%
4 5
 
3.5%
5 2
 
1.4%
ValueCountFrequency (%)
6 1
 
0.7%
5 2
 
1.4%
4 5
 
3.5%
3 30
21.0%
2 25
17.5%

w2_F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct5
Distinct (%)3.8%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.234848485
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.628609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.203429251
Coefficient of variation (CV)0.538483597
Kurtosis-0.4553272899
Mean2.234848485
Median Absolute Deviation (MAD)1
Skewness0.7365819576
Sum295
Variance1.448241962
MonotonicityNot monotonic
2025-02-26T17:46:26.669818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 45
31.5%
2 42
29.4%
3 21
14.7%
4 17
 
11.9%
5 7
 
4.9%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 45
31.5%
2 42
29.4%
3 21
14.7%
4 17
 
11.9%
5 7
 
4.9%
ValueCountFrequency (%)
5 7
 
4.9%
4 17
 
11.9%
3 21
14.7%
2 42
29.4%
1 45
31.5%

w2_F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.295454545
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.708898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.439564376
Coefficient of variation (CV)0.627136956
Kurtosis2.713935751
Mean2.295454545
Median Absolute Deviation (MAD)1
Skewness1.4938592
Sum303
Variance2.072345593
MonotonicityNot monotonic
2025-02-26T17:46:26.747542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 47
32.9%
2 41
28.7%
3 21
14.7%
4 12
 
8.4%
5 7
 
4.9%
6 2
 
1.4%
8 2
 
1.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 47
32.9%
2 41
28.7%
3 21
14.7%
4 12
 
8.4%
5 7
 
4.9%
ValueCountFrequency (%)
8 2
 
1.4%
6 2
 
1.4%
5 7
 
4.9%
4 12
8.4%
3 21
14.7%

w2_F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean4.409090909
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.783420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.27784734
Coefficient of variation (CV)0.2898210461
Kurtosis-0.6753157662
Mean4.409090909
Median Absolute Deviation (MAD)1
Skewness-0.3847004757
Sum582
Variance1.632893824
MonotonicityNot monotonic
2025-02-26T17:46:26.819349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 39
27.3%
4 29
20.3%
6 29
20.3%
3 23
16.1%
2 10
 
7.0%
7 1
 
0.7%
1 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 1
 
0.7%
2 10
 
7.0%
3 23
16.1%
4 29
20.3%
5 39
27.3%
ValueCountFrequency (%)
7 1
 
0.7%
6 29
20.3%
5 39
27.3%
4 29
20.3%
3 23
16.1%

w2_F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.371212121
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.856608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.574633378
Coefficient of variation (CV)0.4670822605
Kurtosis-0.475451877
Mean3.371212121
Median Absolute Deviation (MAD)1
Skewness0.2353087745
Sum445
Variance2.479470275
MonotonicityNot monotonic
2025-02-26T17:46:26.895396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 28
19.6%
4 28
19.6%
5 24
16.8%
2 23
16.1%
1 19
13.3%
6 7
 
4.9%
7 2
 
1.4%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 19
13.3%
2 23
16.1%
3 28
19.6%
4 28
19.6%
5 24
16.8%
ValueCountFrequency (%)
8 1
 
0.7%
7 2
 
1.4%
6 7
 
4.9%
5 24
16.8%
4 28
19.6%

w2_F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.242424242
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:26.934740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.08509128
Coefficient of variation (CV)0.4838920573
Kurtosis0.8823465217
Mean2.242424242
Median Absolute Deviation (MAD)1
Skewness0.8854089994
Sum296
Variance1.177423086
MonotonicityNot monotonic
2025-02-26T17:46:26.972854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 50
35.0%
1 36
25.2%
3 29
20.3%
4 14
 
9.8%
6 2
 
1.4%
5 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 36
25.2%
2 50
35.0%
3 29
20.3%
4 14
 
9.8%
5 1
 
0.7%
ValueCountFrequency (%)
6 2
 
1.4%
5 1
 
0.7%
4 14
 
9.8%
3 29
20.3%
2 50
35.0%

w2_F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.386363636
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.008385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.741490663
Coefficient of variation (CV)0.5142656991
Kurtosis-0.8110318325
Mean3.386363636
Median Absolute Deviation (MAD)1
Skewness0.3212273307
Sum447
Variance3.032789729
MonotonicityNot monotonic
2025-02-26T17:46:27.048090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 26
18.2%
3 24
16.8%
4 23
16.1%
1 22
15.4%
5 18
12.6%
6 15
10.5%
7 3
 
2.1%
8 1
 
0.7%
(Missing) 11
7.7%
ValueCountFrequency (%)
1 22
15.4%
2 26
18.2%
3 24
16.8%
4 23
16.1%
5 18
12.6%
ValueCountFrequency (%)
8 1
 
0.7%
7 3
 
2.1%
6 15
10.5%
5 18
12.6%
4 23
16.1%

w2_F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.477272727
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.085702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.525687977
Coefficient of variation (CV)0.6158740457
Kurtosis1.379970603
Mean2.477272727
Median Absolute Deviation (MAD)1
Skewness1.196124087
Sum327
Variance2.327723803
MonotonicityNot monotonic
2025-02-26T17:46:27.124348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 42
29.4%
2 40
28.0%
3 19
13.3%
4 16
 
11.2%
5 10
 
7.0%
6 3
 
2.1%
8 2
 
1.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 42
29.4%
2 40
28.0%
3 19
13.3%
4 16
 
11.2%
5 10
 
7.0%
ValueCountFrequency (%)
8 2
 
1.4%
6 3
 
2.1%
5 10
7.0%
4 16
11.2%
3 19
13.3%

w2_F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.757575758
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.161668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.38211704
Coefficient of variation (CV)0.5012072784
Kurtosis0.4703398567
Mean2.757575758
Median Absolute Deviation (MAD)1
Skewness0.6396353357
Sum364
Variance1.910247513
MonotonicityNot monotonic
2025-02-26T17:46:27.202073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 37
25.9%
2 30
21.0%
1 29
20.3%
4 21
14.7%
5 12
 
8.4%
6 2
 
1.4%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 29
20.3%
2 30
21.0%
3 37
25.9%
4 21
14.7%
5 12
 
8.4%
ValueCountFrequency (%)
8 1
 
0.7%
6 2
 
1.4%
5 12
 
8.4%
4 21
14.7%
3 37
25.9%

w2_F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct8
Distinct (%)6.1%
Missing12
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean2.694656489
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.240686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.477488148
Coefficient of variation (CV)0.5483029671
Kurtosis1.524938999
Mean2.694656489
Median Absolute Deviation (MAD)1
Skewness1.123027647
Sum353
Variance2.182971227
MonotonicityNot monotonic
2025-02-26T17:46:27.279058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 46
32.2%
1 27
18.9%
3 22
15.4%
4 22
15.4%
5 9
 
6.3%
6 2
 
1.4%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 12
 
8.4%
ValueCountFrequency (%)
1 27
18.9%
2 46
32.2%
3 22
15.4%
4 22
15.4%
5 9
 
6.3%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 2
 
1.4%
5 9
6.3%
4 22
15.4%

w2_F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.992424242
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.317451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.565351031
Coefficient of variation (CV)0.5231046482
Kurtosis0.59921122
Mean2.992424242
Median Absolute Deviation (MAD)1
Skewness0.7887101291
Sum395
Variance2.450323849
MonotonicityNot monotonic
2025-02-26T17:46:27.361941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 35
24.5%
2 29
20.3%
1 25
17.5%
4 22
15.4%
5 13
 
9.1%
6 4
 
2.8%
8 2
 
1.4%
7 2
 
1.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 25
17.5%
2 29
20.3%
3 35
24.5%
4 22
15.4%
5 13
 
9.1%
ValueCountFrequency (%)
8 2
 
1.4%
7 2
 
1.4%
6 4
 
2.8%
5 13
9.1%
4 22
15.4%

w2_F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)6.1%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.068181818
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.404654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.544224313
Coefficient of variation (CV)0.5033027392
Kurtosis1.170067567
Mean3.068181818
Median Absolute Deviation (MAD)1
Skewness0.9199625132
Sum405
Variance2.38462873
MonotonicityNot monotonic
2025-02-26T17:46:27.446109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 44
30.8%
2 26
18.2%
4 22
15.4%
1 21
14.7%
5 9
 
6.3%
6 6
 
4.2%
8 3
 
2.1%
7 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 21
14.7%
2 26
18.2%
3 44
30.8%
4 22
15.4%
5 9
 
6.3%
ValueCountFrequency (%)
8 3
 
2.1%
7 1
 
0.7%
6 6
 
4.2%
5 9
6.3%
4 22
15.4%

w2_F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean1.916666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.485373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.22966927
Coefficient of variation (CV)0.6415665757
Kurtosis4.478236996
Mean1.916666667
Median Absolute Deviation (MAD)0.5
Skewness1.81167908
Sum253
Variance1.512086514
MonotonicityNot monotonic
2025-02-26T17:46:27.525974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 66
46.2%
2 34
23.8%
3 18
 
12.6%
4 9
 
6.3%
5 3
 
2.1%
6 1
 
0.7%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 66
46.2%
2 34
23.8%
3 18
 
12.6%
4 9
 
6.3%
5 3
 
2.1%
ValueCountFrequency (%)
8 1
 
0.7%
6 1
 
0.7%
5 3
 
2.1%
4 9
6.3%
3 18
12.6%

w2_F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.734848485
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.564116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5376191
Coefficient of variation (CV)0.5622319146
Kurtosis1.547959833
Mean2.734848485
Median Absolute Deviation (MAD)1
Skewness1.146718722
Sum361
Variance2.364272496
MonotonicityNot monotonic
2025-02-26T17:46:27.603321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 44
30.8%
1 28
19.6%
3 23
16.1%
4 21
14.7%
5 10
 
7.0%
6 3
 
2.1%
8 3
 
2.1%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 28
19.6%
2 44
30.8%
3 23
16.1%
4 21
14.7%
5 10
 
7.0%
ValueCountFrequency (%)
8 3
 
2.1%
6 3
 
2.1%
5 10
7.0%
4 21
14.7%
3 23
16.1%

w2_F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.462121212
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.640595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.40013796
Coefficient of variation (CV)0.5686714174
Kurtosis0.9665448045
Mean2.462121212
Median Absolute Deviation (MAD)1
Skewness1.027724759
Sum325
Variance1.960386306
MonotonicityNot monotonic
2025-02-26T17:46:27.680248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 43
30.1%
1 38
26.6%
3 21
14.7%
4 17
 
11.9%
5 10
 
7.0%
6 2
 
1.4%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 38
26.6%
2 43
30.1%
3 21
14.7%
4 17
 
11.9%
5 10
 
7.0%
ValueCountFrequency (%)
8 1
 
0.7%
6 2
 
1.4%
5 10
7.0%
4 17
11.9%
3 21
14.7%

w2_F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them

Distinct6
Distinct (%)4.5%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.196969697
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.720788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.207099823
Coefficient of variation (CV)0.5494385403
Kurtosis3.007867228
Mean2.196969697
Median Absolute Deviation (MAD)1
Skewness1.278868919
Sum290
Variance1.457089984
MonotonicityNot monotonic
2025-02-26T17:46:27.758958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46
32.2%
2 39
27.3%
3 30
21.0%
4 12
 
8.4%
5 4
 
2.8%
8 1
 
0.7%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 46
32.2%
2 39
27.3%
3 30
21.0%
4 12
 
8.4%
5 4
 
2.8%
ValueCountFrequency (%)
8 1
 
0.7%
5 4
 
2.8%
4 12
 
8.4%
3 30
21.0%
2 39
27.3%

w2_F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.522727273
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.796992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.45
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.54062498
Coefficient of variation (CV)0.6106981904
Kurtosis1.328296759
Mean2.522727273
Median Absolute Deviation (MAD)1
Skewness1.15850317
Sum333
Variance2.37352533
MonotonicityNot monotonic
2025-02-26T17:46:27.836203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 42
29.4%
2 34
23.8%
3 26
18.2%
4 16
 
11.2%
5 7
 
4.9%
6 5
 
3.5%
8 2
 
1.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 42
29.4%
2 34
23.8%
3 26
18.2%
4 16
 
11.2%
5 7
 
4.9%
ValueCountFrequency (%)
8 2
 
1.4%
6 5
 
3.5%
5 7
 
4.9%
4 16
11.2%
3 26
18.2%

w2_F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.439393939
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:27.873447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.426347365
Coefficient of variation (CV)0.4147089255
Kurtosis0.3072543953
Mean3.439393939
Median Absolute Deviation (MAD)1
Skewness0.3725770709
Sum454
Variance2.034466805
MonotonicityNot monotonic
2025-02-26T17:46:27.988175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 35
24.5%
3 32
22.4%
2 25
17.5%
5 21
14.7%
1 11
 
7.7%
6 6
 
4.2%
8 2
 
1.4%
(Missing) 11
 
7.7%
ValueCountFrequency (%)
1 11
 
7.7%
2 25
17.5%
3 32
22.4%
4 35
24.5%
5 21
14.7%
ValueCountFrequency (%)
8 2
 
1.4%
6 6
 
4.2%
5 21
14.7%
4 35
24.5%
3 32
22.4%

w2_F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct7
Distinct (%)5.3%
Missing11
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3.53030303
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.031643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.85521503
Coefficient of variation (CV)0.5255115536
Kurtosis0.1509306071
Mean3.53030303
Median Absolute Deviation (MAD)1
Skewness0.683424561
Sum466
Variance3.441822808
MonotonicityNot monotonic
2025-02-26T17:46:28.071958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 27
18.9%
2 27
18.9%
5 23
16.1%
3 23
16.1%
1 18
12.6%
8 9
 
6.3%
6 5
 
3.5%
(Missing) 11
7.7%
ValueCountFrequency (%)
1 18
12.6%
2 27
18.9%
3 23
16.1%
4 27
18.9%
5 23
16.1%
ValueCountFrequency (%)
8 9
 
6.3%
6 5
 
3.5%
5 23
16.1%
4 27
18.9%
3 23
16.1%

w2_interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1947.072797
Minimum0
Maximum29460.3
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.118888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile439.547
Q1822.245
median1071.67
Q31621.565
95-th percentile5068.449
Maximum29460.3
Range29460.3
Interquartile range (IQR)799.32

Descriptive statistics

Standard deviation3561.584407
Coefficient of variation (CV)1.829199407
Kurtosis34.28563553
Mean1947.072797
Median Absolute Deviation (MAD)298.71
Skewness5.522518546
Sum278431.41
Variance12684883.48
MonotonicityNot monotonic
2025-02-26T17:46:28.171785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
1.4%
2204.96 1
 
0.7%
664.98 1
 
0.7%
1723.12 1
 
0.7%
1270.34 1
 
0.7%
2941.73 1
 
0.7%
2016.91 1
 
0.7%
378.63 1
 
0.7%
697.65 1
 
0.7%
504.41 1
 
0.7%
Other values (132) 132
92.3%
ValueCountFrequency (%)
0.0 2
1.4%
192.8 1
0.7%
233.74 1
0.7%
308.12 1
0.7%
378.63 1
0.7%
ValueCountFrequency (%)
29460.3 1
0.7%
22521.3 1
0.7%
14676.6 1
0.7%
13831.7 1
0.7%
13650.6 1
0.7%

w2_GT_A1
Real number (ℝ)

Missing 

Distinct141
Distinct (%)100.0%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean306.5795035
Minimum32.44
Maximum13088.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.224499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum32.44
5-th percentile39.83
Q174.69
median110.31
Q3157.85
95-th percentile462.14
Maximum13088.5
Range13056.06
Interquartile range (IQR)83.16

Descriptive statistics

Standard deviation1252.814988
Coefficient of variation (CV)4.086427742
Kurtosis82.40447152
Mean306.5795035
Median Absolute Deviation (MAD)36.82
Skewness8.689785737
Sum43227.71
Variance1569545.395
MonotonicityNot monotonic
2025-02-26T17:46:28.279343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.75 1
 
0.7%
462.01 1
 
0.7%
179.37 1
 
0.7%
462.14 1
 
0.7%
120.88 1
 
0.7%
53.31 1
 
0.7%
50.73 1
 
0.7%
48.55 1
 
0.7%
49.9 1
 
0.7%
120.85 1
 
0.7%
Other values (131) 131
91.6%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
32.44 1
0.7%
32.63 1
0.7%
32.91 1
0.7%
34.28 1
0.7%
34.79 1
0.7%
ValueCountFrequency (%)
13088.5 1
0.7%
6447.81 1
0.7%
3629.61 1
0.7%
1706.82 1
0.7%
675.12 1
0.7%

w2_GT_A2
Real number (ℝ)

Missing 

Distinct138
Distinct (%)97.9%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean38.79106383
Minimum4.08
Maximum3773.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.332332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.08
5-th percentile6.01
Q17.65
median10.09
Q312.48
95-th percentile24.94
Maximum3773.3
Range3769.22
Interquartile range (IQR)4.83

Descriptive statistics

Standard deviation316.9133626
Coefficient of variation (CV)8.169751776
Kurtosis140.7010874
Mean38.79106383
Median Absolute Deviation (MAD)2.44
Skewness11.85577936
Sum5469.54
Variance100434.0794
MonotonicityNot monotonic
2025-02-26T17:46:28.395323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.98 2
 
1.4%
6.52 2
 
1.4%
12.33 2
 
1.4%
19.5 1
 
0.7%
13.35 1
 
0.7%
8.13 1
 
0.7%
4.08 1
 
0.7%
8.52 1
 
0.7%
9.87 1
 
0.7%
9.06 1
 
0.7%
Other values (128) 128
89.5%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
4.08 1
0.7%
4.71 1
0.7%
5.1 1
0.7%
5.28 1
0.7%
5.38 1
0.7%
ValueCountFrequency (%)
3773.3 1
0.7%
98.94 1
0.7%
54.37 1
0.7%
50.13 1
0.7%
40.01 1
0.7%

w2_GT_B
Real number (ℝ)

Missing 

Distinct140
Distinct (%)99.3%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean38.38028369
Minimum10.9
Maximum87.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.455384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum10.9
5-th percentile21
Q128.09
median34.97
Q344.43
95-th percentile67.13
Maximum87.94
Range77.04
Interquartile range (IQR)16.34

Descriptive statistics

Standard deviation14.59428704
Coefficient of variation (CV)0.3802547985
Kurtosis1.368588414
Mean38.38028369
Median Absolute Deviation (MAD)7.84
Skewness1.066535683
Sum5411.62
Variance212.9932142
MonotonicityNot monotonic
2025-02-26T17:46:28.560653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.73 2
 
1.4%
25.33 1
 
0.7%
49.83 1
 
0.7%
33.15 1
 
0.7%
43.15 1
 
0.7%
49.58 1
 
0.7%
27.67 1
 
0.7%
25.69 1
 
0.7%
29.41 1
 
0.7%
27.38 1
 
0.7%
Other values (130) 130
90.9%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
10.9 1
0.7%
11.78 1
0.7%
14.17 1
0.7%
15.51 1
0.7%
15.69 1
0.7%
ValueCountFrequency (%)
87.94 1
0.7%
86.7 1
0.7%
79.13 1
0.7%
76.2 1
0.7%
74.35 1
0.7%

w2_GT_C
Real number (ℝ)

Missing 

Distinct140
Distinct (%)99.3%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean222.6029078
Minimum6.12
Maximum2955.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.615578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.12
5-th percentile95.22
Q1135.68
median171.71
Q3224.8
95-th percentile380.41
Maximum2955.79
Range2949.67
Interquartile range (IQR)89.12

Descriptive statistics

Standard deviation278.39802
Coefficient of variation (CV)1.250648622
Kurtosis69.18726945
Mean222.6029078
Median Absolute Deviation (MAD)38.82
Skewness7.591888532
Sum31387.01
Variance77505.45753
MonotonicityNot monotonic
2025-02-26T17:46:28.672806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181.18 2
 
1.4%
135.6 1
 
0.7%
380.41 1
 
0.7%
201.38 1
 
0.7%
483.08 1
 
0.7%
191.29 1
 
0.7%
87.11 1
 
0.7%
130.11 1
 
0.7%
108.65 1
 
0.7%
360.07 1
 
0.7%
Other values (130) 130
90.9%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
6.12 1
0.7%
8.87 1
0.7%
8.96 1
0.7%
29.67 1
0.7%
87.11 1
0.7%
ValueCountFrequency (%)
2955.79 1
0.7%
1425.31 1
0.7%
857.08 1
0.7%
812.2 1
0.7%
537.82 1
0.7%

w2_GT_D
Real number (ℝ)

Missing 

Distinct138
Distinct (%)98.6%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean82.188
Minimum5.5
Maximum328.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.726730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile8.621
Q146.01
median77.54
Q3110.6075
95-th percentile196.63
Maximum328.19
Range322.69
Interquartile range (IQR)64.5975

Descriptive statistics

Standard deviation58.84975737
Coefficient of variation (CV)0.7160383191
Kurtosis1.844495681
Mean82.188
Median Absolute Deviation (MAD)32.97
Skewness1.075367713
Sum11506.32
Variance3463.293943
MonotonicityNot monotonic
2025-02-26T17:46:28.780599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.64 2
 
1.4%
12.44 2
 
1.4%
42.0 1
 
0.7%
178.51 1
 
0.7%
10.92 1
 
0.7%
73.46 1
 
0.7%
54.59 1
 
0.7%
11.52 1
 
0.7%
55.55 1
 
0.7%
9.99 1
 
0.7%
Other values (128) 128
89.5%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
5.5 1
0.7%
6.27 1
0.7%
7.04 1
0.7%
7.05 1
0.7%
7.06 1
0.7%
ValueCountFrequency (%)
328.19 1
0.7%
251.74 1
0.7%
226.88 1
0.7%
222.16 1
0.7%
221.43 1
0.7%

w2_GT_E
Real number (ℝ)

Missing 

Distinct138
Distinct (%)99.3%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean123.3830935
Minimum19.11
Maximum4247.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.833811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum19.11
5-th percentile32.686
Q148.66
median66.37
Q386.795
95-th percentile190.861
Maximum4247.63
Range4228.52
Interquartile range (IQR)38.135

Descriptive statistics

Standard deviation379.5387828
Coefficient of variation (CV)3.076100395
Kurtosis103.3351318
Mean123.3830935
Median Absolute Deviation (MAD)18.71
Skewness9.736972518
Sum17150.25
Variance144049.6876
MonotonicityNot monotonic
2025-02-26T17:46:28.884833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.93 2
 
1.4%
40.43 1
 
0.7%
70.53 1
 
0.7%
187.27 1
 
0.7%
117.46 1
 
0.7%
19.83 1
 
0.7%
48.67 1
 
0.7%
37.84 1
 
0.7%
50.87 1
 
0.7%
87.35 1
 
0.7%
Other values (128) 128
89.5%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
19.11 1
0.7%
19.83 1
0.7%
24.05 1
0.7%
25.11 1
0.7%
28.47 1
0.7%
ValueCountFrequency (%)
4247.63 1
0.7%
1273.14 1
0.7%
1014.14 1
0.7%
487.47 1
0.7%
335.94 1
0.7%

w2_GT_F
Real number (ℝ)

Missing 

Distinct133
Distinct (%)100.0%
Missing10
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1235.18
Minimum7.36
Maximum28866.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:46:28.938102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.36
5-th percentile290.442
Q1445.14
median567.34
Q3864.74
95-th percentile2875.426
Maximum28866.6
Range28859.24
Interquartile range (IQR)419.6

Descriptive statistics

Standard deviation2965.771766
Coefficient of variation (CV)2.401084672
Kurtosis60.26158514
Mean1235.18
Median Absolute Deviation (MAD)160.24
Skewness7.195734034
Sum164278.94
Variance8795802.167
MonotonicityNot monotonic
2025-02-26T17:46:28.989955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
641.84 1
 
0.7%
1100.48 1
 
0.7%
1101.34 1
 
0.7%
409.27 1
 
0.7%
668.08 1
 
0.7%
1097.42 1
 
0.7%
414.93 1
 
0.7%
431.79 1
 
0.7%
214.94 1
 
0.7%
380.87 1
 
0.7%
Other values (123) 123
86.0%
(Missing) 10
 
7.0%
ValueCountFrequency (%)
7.36 1
0.7%
138.58 1
0.7%
214.94 1
0.7%
267.55 1
0.7%
272.92 1
0.7%
ValueCountFrequency (%)
28866.6 1
0.7%
12958.2 1
0.7%
11500.9 1
0.7%
9570.6 1
0.7%
4770.81 1
0.7%